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Piehealthcare : AI Software
DOCTOR EYE X-ANGIO
✓ Upcoming Launch

DOCTOR EYE

Pushing the boundaries of medical AI with the DOCTOR EYE X-Series.

DOCTOR EYE

Pushing the boundaries of medical AI with the DOCTOR EYE X-Series.

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DOCTOR EYE Solution
Assisting Diagnosis of 7 Conditions
with a Single Image

The DOCTOR EYE series comprises X-EYE, X-ANGIO, X-ADHD, and X-ECAS. Utilizing specialized AI analysis models designed for each condition, it screens for critical health risks, including diabetic retinopathy, macular degeneration, glaucoma, epiretinal membrane, cerebral aneurysm, ADHD, and cerebrovascular stenosis.

Captured fundus images are processed through condition-specific AI models to provide actionable insights for healthcare professionals. Rather than replacing a definitive diagnosis, DOCTOR EYE serves as a primary AI screening system for critical conditions, aiding in the early detection of patients who require further evaluation and specialized care.

ANGIO

Push the boundaries of fundus medical AI

*Expected Launch in 2027

DOCTOR EYE

Medical AI Solutions Starting with Fundus Photography

Push the boundaries of fundus medical AI

Piehealthcare

Connecting Clinical Expertise with AI

Driving healthcare innovation through clinical insight and AI technology.

DOCTOR EYE Medical AI Solutions

1 Fundus Image AI Support for 7 Conditions

The DOCTOR EYE series includes X-EYE, X-ANGIO, X-ADHD, and X-ECAS. Using AI models tailored to each condition, it screens for the risk of serious conditions, including diabetic retinopathy, macular degeneration, glaucoma, epiretinal membrane, cerebral aneurysm, ADHD, and cerebrovascular stenosis.

Each fundus image is analyzed by condition-specific AI models, with results presented for review by healthcare professionals. DOCTOR EYE is an AI system for first-line screening of serious conditions, designed to help identify patients who may need further testing or specialist care. It supports clinical assessment and does not replace a definitive diagnosis.

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Piehealthcare's Strengths

TECHNOLOGY PLATFORM

PIEGENT

An integrated medical AI technology platform delivering safe and precise analytics

OASIS Biomarker Analysis Biomarker analysis images
PLATFORM MODULE

OASIS

(Ophthalmic Analysis Segmentation Image System)

Advanced analysis technology for biomarkers including anatomical structures, blood vessels, and nerves within fundus images.
Accurately segments and analyzes features across 40 types of biomarkers in fundus photography.

  • ✓ Anatomical Features
  • ✓ Vascular Features
  • ✓ Neural Features
MODULE / MODEL

CoMoE

(Cooperative Mixture-of-Experts)

Combines 40 biomarkers extracted via OASIS to extract optimized features for assessing risks of ocular diseases, brain disorders, and ADHD.
Risk Assessment Performance
for Ocular, Neurological, & ADHD Conditions
Ocular, Brain, & ADHD Risk Analysis
87%
REMEDIS Analysis
EXPLAINABLE AI

REMEDIS

Technology that highlights key focus areas analyzed by AI within fundus images using green markers.

  • ✓ Visual Explanation
  • ✓ Influential Region Heatmap
Certificate 1
Certificate 2
Certificate 3
Certificate 4
Certificate 5
Certificate 6
× Enlarged certificate view
Multi-Label Retinal Diagnosis

Saliency-Guided Sparse Expert Routing

Disentangling Co-occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

Disentangling Co-occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

A Saliency-Guided Sparse MoE framework designed to disentangle and independently diagnose co-occurring retinal pathologies in fundus images.

Lesion-centric expert routing minimizes cross-disease interference, achieving 0.912 mAUC and 0.653 mF1 on ODIR-2019 , with an inference speed of 5.23 ms per image .

0.912 mAUC
0.653 mF1
5.23 ms Inference / Image

Disentangling Co-occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

Nagur Shareef Shaik, Jeongwoo Park, Yeong-Jin Kim, Jaeuk Jung, Hyunjung Oh, Dong Hye Ye

2026 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

× Enlarged research poster
RESEARCH & DATA

Oculomics

World-leading Oculomics research conducted in collaboration with Seoul National University Hospital.

  • • Fundus Images: 1 Million
  • • MRI & CT Scans: 400,000
Oculomics Research Diagram
GLOBAL PARTNERSHIP

Cooperation

Piehealthcare collaborates with leading domestic and international institutions to advance technology development and research.

  • • Piehealthcare: Development of AI-based fundus & disease analysis technology
  • • Seoul National University Hospital: Joint clinical data research & validation
  • • University of Utah CMI: FDA collaboration with University of Utah CMI
  • • Georgia State University: Joint development of X-DEMENTIA-M
Piehealthcare
Piehealthcare
Seoul National University Hospital
Seoul National University Hospital
University of Utah CMI
University of Utah CMI
Georgia State University
Georgia State University
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Piehealthcare's Strengths

TECHNOLOGY PLATFORM

PIEGENT

Integrated Medical AI Platform Delivering Safe and Precise Analysis

OASIS Biomarker Analysis Biomarker Analysis Images
PLATFORM MODULE

OASIS

(Ophthalmic Analysis Segmentation Image System)

Advanced biomarker analysis technology for fundus photography, covering anatomical structures, blood vessels, and neural features.
Identifies and analyzes 41 distinct biomarkers in fundus images.

Technology that combines 41 biomarkers analyzed by OASIS to identify the optimal combination for cerebral aneurysm analysis.
  • Anatomical Features
  • Vascular Features
  • Neural Features
MODULE / MODEL

CoMoE

(Cooperative Mixture-of-Experts)

Technology that combines 41 biomarkers analyzed by OASIS to determine the optimal combination for analyzing ocular diseases, brain disorders, and ADHD.
Risk Analysis Performance
Ocular, Brain, & ADHD Risk Analysis
87%
REMEDIS Analysis
EXPLAINABLE AI

REMEDIS

A technology that visualizes which regions of the fundus photograph the AI primarily focused on for analysis using green markers.

  • Visual Explanation
  • Influential Region Heatmap
Retinal Disease Diagnosis

REMEDIS

A Clinical AI Framework for Retinal Disease Diagnosis with Explainable Fundus Image Analysis

This paper introduces a system that diagnoses 4 major retinal diseases through real-time fundus image analysis in a SaaS-based cloud environment
and presents visual diagnostic rationale for AI using Grad-CAM technology.

REMEDIS: A Clinical AI Framework for Retinal Disease Diagnosis with Explainable Fundus Image Analysis

Youngkyu Lee¹, Jinho Lee¹, Youngdae Jo¹, Jeongwoo Park¹,²

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Multi-Label Retinal Diagnosis

Saliency-Guided Sparse Expert Routing

Disentangling Co-occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

Disentangling Co-occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

A Saliency-Guided Sparse MoE framework designed to disentangle and independently diagnose co-occurring retinal pathologies in fundus images. Lesion-centric expert routing minimizes cross-disease interference, achieving 0.912 mAUC and 0.653 mF1 on ODIR-2019, with an inference speed of 5.23 ms per image.

0.912 mAUC
0.653 mF1
5.23 ms Inference / Image

Disentangling Co-occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

Nagur Shareef Shaik, Jeongwoo Park, Yeong-Jin Kim, Jaeuk Jung, Hyunjung Oh, Dong Hye Ye

2026 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

× Enlarged research poster
RESEARCH & DATA

Oculomics

This is the world's largest Oculomics research initiative, conducted in collaboration with Seoul National University Hospital.

  • Fundus Images: 1 Million
  • MRI, MRA, CT, US: 400,000
Oculomics Research Diagram
GLOBAL PARTNERSHIP

Cooperation

Piehealthcare collaborates with leading domestic and international institutions on technology development and research.

  • Piehealthcare: Development of AI-based fundus and disease analysis technology
  • Seoul National University Hospital: Joint clinical data research and validation
  • University of Utah CMI: Collaboration with FDA and University of Utah CMI
  • Georgia State University: Joint development of X-DEMENTIA-M
Piehealthcare
Seoul National University Hospital
University of Utah CMI
Georgia State University
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DOCTOR EYE X-SERIES

DOCTOREYE X-EYE
Ophthalmic Disease AI Analysis - Commercialized & Advanced
DOCTOREYE X-ANGIO
Cerebral Aneurysm AI Analysis - Prototype Completed
DOCTOREYE X-ADHD
ADHD AI Analysis - Prototype Completed
DOCTOREYE X-ECAS
Cerebral Artery Stenosis AI Analysis - Prototype Completed
Piehealthcare : AI Software
DOCTOR EYE AI

DOCTOR EYE X-EYE is an AI software solution that analyzes retinal fundus images within seconds to detect major ophthalmic conditions, including macular degeneration, diabetic retinopathy, glaucoma, and epiretinal membrane.

It empowers medical professionals to make faster, more accurate clinical decisions.

MFDS Approved (Approval No. 26-1)

DOCTOR EYE X-EYE: How to Use

Fundus Image Acquisition
1

Fundus Photography

  • Autofocus & auto-capture
  • No darkroom required
  • Non-mydriatic imaging
DOCTOR EYE Analysis
2

DOCTOR EYE Analysis

  • AI analysis within seconds
  • Simultaneous screening for 4 major eye diseases
Suspected Condition Analysis Results
3

Suspected Condition Analysis

  • Comprehensive report on suspected conditions
  • Heatmap highlighting key AI focus areas

DOCTOR EYE X-SERIES Milestones

2024
Development completed for DOCTOR EYE X-EYE
2025
Initiated regulatory approval and commercialization for DOCTOR EYE X-EYE; obtained MFDS Approval (Approval No. 26-1)
2026
Completed prototype development for DOCTOR EYE X-ANGIO, DOCTOR EYE X-ADHD, and DOCTOR EYE X-ECAS
2027
Scheduled launch of DOCTOR EYE X-ANGIO
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DOCTOR EYE Retina Scan
DOCTOR EYE X-EYE
Ophthalmic Disease AI Analysis - Commercialized & Advanced
DOCTOR EYE X-ANGIO
Cerebral Aneurysm AI Analysis - Prototype Completed
DOCTOR EYE X-ADHD
ADHD AI Analysis - Prototype Completed
DOCTOR EYE X-ECAS
Cerebrovascular Stenosis AI Analysis - Prototype Completed
Piehealthcare : AI Software
DOCTOR EYE AI

DOCTOR EYE X-EYE is an AI software solution that detects major ophthalmic diseases, including macular degeneration, diabetic retinopathy, glaucoma, and epiretinal membrane, within seconds by analyzing retinal images captured with a fundus camera.

It empowers healthcare professionals to make faster and more precise clinical decisions.

Approval from the Ministry of Food and Drug Safety (No. D 26-1)

DOCTOR EYE X-EYE : How to Use

Fundus Photography Image
1

Fundus Photography

  • Autofocus / Automatic capture
  • No darkroom required
  • Non-mydriatic approach
DOCTOR EYE AI Analysis Image
2

DOCTOR EYE Analysis

  • AI analysis within seconds
  • Simultaneous screening for 4 major eye diseases
Analysis Report Image
3

Analysis Results

  • Comprehensive report on suspected conditions
  • Heatmap highlighting key AI focus areas

DOCTOR EYE AI SERIES

The DOCTOR EYE AI series delivers rapid and precise diagnostic analysis across various medical fields.

Select a product to view detailed specifications and technical information.

DOCTOR EYE X-EYE DOCTOR EYE X-ANGIO DOCTOR EYE X-ADHD DOCTOR EYE X-ECAS

DOCTOR EYE X-SERIES History

2024
Completed development of DOCTOR EYE X-EYE
2025
Initiated regulatory approval and commercialization process for DOCTOR EYE X-EYE and obtained MFDS Approval (Approval No. 26-1)
2026
Completed prototype development for DOCTOR EYE X-ANGIO, DOCTOR EYE X-ADHD, and DOCTOR EYE X-ECAS
2027
Scheduled launch of DOCTOR EYE X-ANGIO
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Just seconds after imaging, DOCTOR EYE AI detects critical diseases.

  • Real-Time Automated Analysis
    Delivers results within seconds after fundus imaging to minimize patient wait times.
  • Flexible Device Compatibility
    Integrates directly with DICOM standards and various fundus camera brands.
  • Automated Image Quality Control
    Automatically evaluates image clarity to prevent diagnostic errors beforehand.

Key Detected Conditions 

  • Diabetic Retinopathy
    Detects early signs such as microaneurysms, retinal hemorrhages, and hard exudates.
  • Age-Related Macular Degeneration
    Accurately identifies macular drusen accumulation and structural abnormalities.
  • Glaucoma
    Measures the Cup-to-Disc (C/D) ratio and analyzes retinal nerve fiber layer defects.
  • Epiretinal Membrane
    Detects fibrous membrane formation on the macular surface and retinal distortion.

Key Benefits

  • Diagnostic Assistance
    Enhances reading accuracy through analysis powered by ophthalmologist-validated data.
  • Streamlined Screening
    Strengthens early disease detection and referral pathways across healthcare institutions.
  • Automated Report Generation
    Provides clear patient consultations with visual reports highlighting lesion risk levels.
  • Reduced Waiting Time
    Improves patient throughput by delivering rapid diagnostic analysis.
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ON DEVICE  l  DOCTOR EYE

DOCTOR EYE AI: Detecting Major Conditions Seconds After Imaging

  • Instant Automated Analysis: Delivers results within seconds of fundus photography, minimizing patient wait times.
  • Flexible Device Compatibility: Seamlessly integrates with DICOM standards and various fundus camera brands.
  • Automated Image Quality Validation: Automatically assesses image clarity to prevent diagnostic errors beforehand.
DOCTOR EYE X-EYE is an AI software solution designed to integrate directly with fundus cameras. By analyzing fundus images in seconds, the system detects major condition presence—such as diabetic retinopathy, macular degeneration, glaucoma, and epiretinal membrane—to empower healthcare professionals in clinical decision-making.

Achievements

AAAI 2026 Global Academic Achievements

Following its publication acceptance in an AAAI journal in October 2025, Piehealthcare officially presented "REMEDIS," an AI-based retinal diagnostic framework, at AAAI 2026 held in Singapore.

동영상 재생

Milestones 

2014
  • Apr Founded Piehealthcare
2024
  • Nov Acquired Medical Device GMP Certification
2025
  • Jan Acquired Venture Business Certification; Advanced DOCTOR EYE X-EYE
  • Mar Participated in KIMES 2025; Unveiled DOCTOR EYE X-EYE
  • Apr Acquired MAIN-BIZ and INNO-BIZ Certifications
  • Sep Awarded Ministerial Commendation at the MSS SME Business Innovation Contest; Signed MOU with KT
  • Oct Received Encouragement Award at Gyeonggi SME AI Transformation Best Practices Contest; Won Suwon Small & Medium Business Award (Business Innovation Category); Paper accepted for AAAI IAAI Track 2
  • Nov Selected for Korea Frontier (Batch 1); Invited to KTH Royal Institute of Technology as a Seoul National University recommended company
  • Dec Hosted AI Winter Internship with Ewha Womans University and Ajou University; Promoted R&D unit to Corporate R&D Center
2026
  • Jan Obtained MFDS Medical Device Manufacturing Approval for DOCTOR EYE X-EYE; Participated in AAAI 2026; Established US Entity in California; Signed MOU with Ewha Womans University; Secured Seed Investment from Vector Investment and Vector Bio Private Investment Association
  • Mar Participated in KIMES 2026; Signed Main Sponsorship Agreement with Suwon FC
  • Apr Launched DOCTOR EYE X-EYE; Selected as a Gyeonggi Star Company
  • May Participated in AI EXPO KOREA 2026 and WCIFIT 2026 in Chongqing; Successfully completed SNU AI CEO (4th Cohort) Company Visit; Acquired ISO 13485:2016 Certification
  • Jun Signed MOU with Kyungdongwon for regular support for children with developmental disabilities
  • Jul Acquired ISO 27017:2015 and ISO 27701:2025 Certifications; Participated in Manufacturing World Tokyo 2026
  • Aug Participated in KHF 2026

Awards 

  • Commendation for Industrial R&D Advancement hosted by the Ministry of Science and ICT
  • Received the Minister’s Award at the SME Management Innovation Competition hosted by the Ministry of SMEs and Startups  
  • Received an Encouragement Award at the Gyeonggi SME AI Transformation Best Practice Competition
  • Received the Management Innovation Award at the Suwon SME Awards
  • Selected for the 1st Korea Frontier Program

Certifications 

Certificate 1
Certificate 2
Certificate 3
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  • ISO 13485:2016
  • ISO 27001:2022
  • ISO 27701:2025
  • ISO 27017:2015

Patents 

Registered
AI-Based Pharmaceutical Inventory Management and Method of Operating the Same
Application No. 10-2025-0037931
Pending
APPARATUS AND METHOD FOR DIAGNOSING DEMENTIA BASED ON ARTIFICIAL INTELLIGENCE
Application No. 10-2025-0033129
(PP25-114)
Filing Date: 2024-08-27
Pending
APPARATUS AND METHOD FOR PREDICTING OCULAR DISEASES BASED ON FUNDUS IMAGES
Application No. 10-2025-0033129
(PP25-114)
Filing Date: 2025-03-14
Pending
APPARATUS AND METHOD FOR MEASURING CAROTID INTIMA-MEDIA THICKNESS AND STENOSIS STAGE USING ARTIFICIAL INTELLIGENCE
Application No. 10-2025-0051915
(PP25-127)
Filing Date: 2025-04-21
Pending
Method and Apparatus for Assisting Diagnosis of Cerebral Aneurysm Using Fundus Image
Application No. 10-2025-0135358
Filing Date: 2025-09-19
Pending
Method and Apparatus for Assisting Diagnosis of Intracranial/Extracranial Artery Stenosis Using Fundus Image
Application No. 10-2025-0135359
(PP25-182)
Filing Date: 2025-09-19
Pending
Fundus image-based employee attendance and health management system and method thereof
Application No. 10-2025-0146765
Filing Date: 2025-10-13
Pending
Method and System for Detecting Aneurysm Using Fundus Images Based on Ensemble of Multiple Feature Extractors and Multiple-Instance Learning
Application No. 10-2026-0021647
Filing Date: 2026-02-16
Pending
Method and System for Distinguishing Normal from Severe Retinal Arterial Caliber Narrowing Using Fluorescein Angiography Images Based on Multiple-Instance Learning and Domain-Specific Augmentation
Application No. 10-2026-0066875
Filing Date: 2026-04-10
Pending
Method and System for Detecting Attention-Deficit/Hyperactivity Disorder (ADHD) Using
Fundus Images Based on Ensemble of Multiple Feature Extractors and Multiple-Instance
Learning
Application No. 10-2026-0158424
Filing Date: 2026.09.15
Pending
Method and System for Detecting Aneurysm Using Fundus Images Based on Ensemble of Multiple Feature Extractors and Multiple-Instance Learning
Application No. PCT/KR2026/011000
International Filing Date: 2026-08-05
Pending
Fundus-Image-Based Screening Test Method for Carotid Artery Stenosis
Application No. 10-2026-0178647
Filing Date: 2026.09.18
Pending
METHOD AND SYSTEM FOR QUANTITATIVE BIOMARKER EXTRACTION
Application No. 10-2026-0187974
Filing Date: 2026.10.01
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HIGHLIGHTS

AAAI 2026 Academic Achievement

IAAI Track 2 Selected Presented at AAAI 2026

Following the paper acceptance by an AAAI-affiliated journal in October 2025, Piehealthcare officially presented "REMEDIS", an AI-powered retinal diagnostics framework, at AAAI 2026 in Singapore.

Presented Paper / Framework REMEDIS: AI-Powered Retinal Diagnostics Framework
Key Technical Milestone Demonstrated Outstanding Zero-Shot Composed Image Retrieval (CIR) Performance
동영상 재생
동영상 재생
동영상 재생

Milestones

Awards · Certifications · Patents 

Suwon Small and Medium Business Award
Suwon Small and Medium Business Award
Commendation for Industrial R&D Advancement
2026.09.07 | Awarded by: Deputy Prime Minister and Minister of Science and ICT
Grand Prize, SME Management Innovation Contest
2025.09.04 | Awarded by: Minister of SMEs and Startups
Encouragement Award, Gyeonggi SME AI Transformation Best Practice Contest
2025.10.01
Suwon Small and Medium Business Award (Management Innovation)
2025.10.28
Selected for Korea Frontier 1st Cohort
2025.11.07
ISO 13485:2016 Medical Devices Quality Management System Certificate
ISO 13485:2016 Medical Devices Quality Management System Certificate
ISO 27701:2025 Privacy Information Management System Certificate
ISO 27701:2025 Privacy Information Management System Certificate
ISO 27017:2015 Information Security Management System Certificate
ISO 27017:2015 Information Security Management System Certificate
ISO 27001:2022 Information Security Management System Certificate
ISO 27001:2022 Information Security Management System Certificate
Registered
AI-Based Pharmaceutical Inventory Management and Method of Operating the Same
Application No. 10-2025-0037931
Pending
APPARATUS AND METHOD FOR DIAGNOSING DEMENTIA BASED ON ARTIFICIAL INTELLIGENCE
Application No. 10-2025-0033129
(PP25-114)
Filing Date: 2024-08-27
Pending
APPARATUS AND METHOD FOR PREDICTING OCULAR DISEASES BASED ON FUNDUS IMAGES
Application No. 10-2025-0033129
(PP25-114)
Filing Date: 2025-03-14
Pending
APPARATUS AND METHOD FOR MEASURING CAROTID INTIMA-MEDIA THICKNESS AND STENOSIS STAGE USING ARTIFICIAL INTELLIGENCE
Application No. 10-2025-0051915
(PP25-127)
Filing Date: 2025-04-21
Pending
Method and Apparatus for Assisting Diagnosis of Cerebral Aneurysm Using Fundus Image
Application No. 10-2025-0135358
Filing Date: 2025-09-19
Pending
Method and Apparatus for Assisting Diagnosis of Intracranial/Extracranial Artery Stenosis Using Fundus Image
Application No. 10-2025-0135359
(PP25-182)
Filing Date: 2025-09-19
Pending
Fundus image-based employee attendance and health management system and method thereof
Application No. 10-2025-0146765
Filing Date: 2025-10-13
Pending
Method and System for Detecting Aneurysm Using Fundus Images Based on Ensemble of Multiple Feature Extractors and Multiple-Instance Learning
Application No. 10-2026-0021647
Filing Date: 2026-02-16
Pending
Method and System for Distinguishing Normal from Severe Retinal Arterial Caliber Narrowing Using Fluorescein Angiography Images Based on Multiple-Instance Learning and Domain-Specific Augmentation
Application No. 10-2026-0066875
Filing Date: 2026-04-10
Pending
Method and System for Detecting Attention-Deficit/Hyperactivity Disorder (ADHD) Using
Fundus Images Based on Ensemble of Multiple Feature Extractors and Multiple-Instance
Learning
Application No. 10-2026-0158424
Filing Date: 2026.09.15
Pending
Method and System for Detecting Aneurysm Using Fundus Images Based on Ensemble of Multiple Feature Extractors and Multiple-Instance Learning
Application No. PCT/KR2026/011000
International Filing Date: 2026-08-05
Pending
Fundus-Image-Based Screening Test Method for Carotid Artery Stenosis
Application No. 10-2026-0178647
Filing Date: 2026.09.18
Pending
METHOD AND SYSTEM FOR QUANTITATIVE BIOMARKER EXTRACTION
Application No. 10-2026-0187974
Filing Date: 2026.10.01
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News & Updates

LEADERSHIP GROUP

LEE YOUNG KYU
LEE YOUNG KYU
CEO
Education
  • Biotechnology, School of Life Sciences, The Catholic University of Korea
Training, Activities & Awards
  • Deputy Prime Minister and Minister of Science and ICT Commendation for Contributions to Corporate R&D and Technology Advancement
  • Completed the AI CEO Program at Seoul National University (2025)
  • Management Innovation Award, Suwon Small and Medium Business Awards
  • Minister's Award, SME Technology and Management Innovation Awards
Experience
  • Sales & Marketing, Hanmi Pharmaceutical Co., Ltd. (2011–2017)
    • Ranked No. 1 nationwide in the Hospital Sales Division for four consecutive years
  • Founder & CEO, Pie Healthcare (2014–Present)
LEE SOON TAE
LEE SOON TAE
CMA / Chief Medical Advisor
Education
  • Ph.D. in Neuroscience, Seoul National University College of Medicine
  • M.S. in Neuroscience, Seoul National University College of Medicine
  • M.D., Seoul National University College of Medicine
Experience
  • Professor, Department of Neurology, Seoul National University Hospital
  • Visiting Researcher, Encephalitis Center, UCSF Medical Center
  • Associate Professor, Department of Neurology, Seoul National University Hospital
  • Assistant Professor, Department of Neurology, Seoul National University Hospital
  • Clinical Training / Postdoctoral Fellowship, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA
  • Clinical Fellow, Department of Neurology, Seoul National University Hospital
  • Resident, Department of Neurology, Seoul National University Hospital
  • Intern, Seoul National University Hospital
CHOI SUN JONG
CHOI SUN JONG
CPXO / Chief Physician Experience Officer
Education
  • Completed Master's Coursework in Orthopedic Surgery, Seoul National University College of Medicine
  • M.D., Seoul National University College of Medicine
Experience
  • Chief Medical Director, Namyangju Baek Hospital
  • Selected as one of Korea's Top 100 Doctors (2020)
  • Hospital Director, Hwahong Hospital
  • Director, Spine Center, Hwahong Hospital
  • Director of Medical Services, Davos Hospital
  • Director, Spine Center, Davos Hospital
  • Director, Spine Center, Seoul Bumin Hospital
  • Director, Synergy Orthopedic Hospital
  • Deputy Director, Spine Surgery, Synergy Hospital
  • Completed Specialist Training in Orthopedic Surgery, Seoul National University Hospital
  • Internship, Seoul National University Hospital
PARK KYUNG IL
PARK KYUNG IL
Clinical Research Lead / Advisor
Education
  • Ph.D. in Medicine, Seoul National University College of Medicine
  • M.S. in Medicine, Seoul National University College of Medicine
  • M.D., Seoul National University College of Medicine
Experience
  • Professor, Seoul National University Hospital (Joint Appointment)
  • Professor, Seoul National University Hospital Healthcare System Gangnam Center
  • Research Fellow / Visiting Professor, Massachusetts General Hospital, Harvard Medical School
  • Lecturer / Assistant Professor / Associate Professor, Inje University College of Medicine
  • Epilepsy Fellow, Department of Neurology, Seoul National University Hospital
CHOI HYUK JIN
CHOI HYUK JIN
Clinical Research Lead / Advisor
Education
  • Ph.D. in Medicine, Seoul National University College of Medicine
  • M.S. in Medicine, Seoul National University College of Medicine
  • M.D., Seoul National University College of Medicine (Graduated with Highest Honors)
Experience
  • Clinical Professor, Seoul National University Hospital Healthcare System Gangnam Center
  • Clinical Associate Professor, Seoul National University Hospital Healthcare System Gangnam Center
  • Head of Ophthalmology, Sheikh Khalifa Specialty Hospital, UAE (Secondment)
  • Clinical Assistant Professor, Seoul National University Hospital Healthcare System Gangnam Center
  • Clinical Faculty, Seoul National University Hospital Healthcare System Gangnam Center
  • Clinical Faculty / Clinical Fellow, Department of Ophthalmology, Seoul National University Hospital
  • Head of Ophthalmology, Incheon Medical Center / Dedicated Ophthalmologist, Gyeonggi Provincial Mobile Medical Team
  • Resident, Department of Ophthalmology, Seoul National University Hospital
  • Intern, Seoul National University Hospital
LEE JI YOUNG
LEE JI YOUNG
Data Advisor
Education
  • Ph.D. in Biostatistics, Harvard University
  • M.S. in Biostatistics, Yale University
  • B.S. in Mathematics, Ewha Womans University
Experience
  • Assistant Professor, Department of Data Science, Ewha Womans University
KANG JIN HO
KANG JIN HO
Chief Scientific Advisor
Education
  • M.D., Kangwon National University College of Medicine
  • Completed M.S. Coursework in Medicine, Chung-Ang University
  • Completed Neurology Specialist Training, Seoul Veterans Hospital
Experience
  • Selected as one of Korea's Top 100 Doctors (2021)
  • Director, Neurology & Psychiatry Center, Hwahong Hospital
  • Director, Suwon City-designated Dementia Center
  • Director, Dementia Center / Intractable Headache Clinic, Hwahong Hospital
  • Head, Neurology Center, Davos Hospital, Yongin
  • Head of Neurology, The One Long-Term Care Hospital, Yongin
  • Head of Neurology, Raphael Long-Term Care Hospital, Suwon
  • Head of Neurology, Hyojeong Hospital, Suwon
  • Full Member, Korean Neurological Association
  • Full Member, Korean Dementia Association
  • Full Member, Korean Stroke Society
  • Full Member, Korean Society of Sleep Research
  • Full Member, Korean Headache Society
  • Appointed Member, Biomedical Research Committee, Seoul National University Hospital
HWANG IN SEOP
HWANG IN SEOP
Advisor
Education
  • M.D., Chonnam National University College of Medicine
  • Completed M.S. and Ph.D. Coursework, Chonnam National University College of Medicine
  • Resident, Internal Medicine, National Police Hospital
Experience
  • Director, Hwang In Seop Internal Medicine Clinic (June 1999–Present)
  • Minister of Health and Welfare Award
  • Commendation from the Mayor of Suwon
  • Advisor, Suwon Cycling Federation
  • Full Member, Korean Association of Internal Medicine
  • Full Member, Korean Society of Gastrointestinal Endoscopy
  • Full Member, Korean Society of Ultrasound in Medicine
  • Full Member, Korean Geriatrics Society
HA SEONG SAM
HA SEONG SAM
Advisor
Experience
  • Board-certified Specialist in Internal Medicine
  • Certified Specialist in Gastrointestinal Endoscopy
  • Clinical Advisor, Department of Internal Medicine, Asan Medical Center
  • Adjunct Professor, Department of Internal Medicine, Asan Medical Center
  • Full Member, Korean Association of Internal Medicine
  • Full Member, Korean Association for the Study of the Liver
  • Full Member, Korean Society of Gastroenterology
  • Full Member, Korean Society of Gastrointestinal Endoscopy
  • Full Member, Korean Association of Clinical Ultrasound
  • Full Member, Korean Society of Echocardiography
DONG HYE YE
DONG HYE YE
Medical AI Advisor
Education
  • Ph.D. in Bioengineering, University of Pennsylvania
  • M.S. in Electrical and Computer Engineering, Georgia Institute of Technology
  • B.S. in Electrical and Computer Engineering, Seoul National University
Experience
  • Associate Professor, Department of Computer Science, Georgia State University
  • Faculty Member, TReNDS Center, Georgia State University
  • Former Assistant Professor, Department of Electrical and Computer Engineering, Marquette University
  • Former Research Assistant Professor, Purdue University
  • Recipient, NSF CAREER Award
CHAE SUNG HEE
CHAE SUNG HEE
Independent Director
Education
  • Completed Ph.D. Coursework in Law, Seoul National University (Administrative Law)
  • LL.M., Seoul National University
  • LL.B., Seoul National University
Experience
  • Completed the 4th Seoul National University Advanced AI Executive Program
  • Completed the 35th Class, Judicial Research and Training Institute
  • Passed the 45th National Judicial Examination
  • Lee & Ko
  • Samsung Electronics Co., Ltd. (IP Center, International Legal Affairs Team, Compliance Team)
  • Bae, Kim & Lee LLC
PARK SANG JIN
PARK SANG JIN
Advisor / Chair, Compliance Committee
Education
  • LL.M., Vanderbilt University Law School
  • LL.B., Seoul National University
  • Kyunggi High School, Seoul
Experience
  • Passed the 45th National Judicial Examination (2003)
  • Completed the 35th Class, Judicial Research and Training Institute (2006)
  • Attorney, Lee & Ko
  • Samsung Electronics Co., Ltd. (IP Center, International Legal Affairs Team, Compliance Team)
  • Corporate IP, International Legal Affairs and Compliance Practice
  • Attorney, Bae, Kim & Lee LLC
  • Specialized in Corporate Law, Intellectual Property and Compliance
  • Former Chief Prosecutor, Goyang Branch Office
  • Former Deputy Chief Prosecutor, Ulsan District Prosecutors' Office
HWANG IN JUNG
HWANG IN JUNG
Advisor / Standing Member, Compliance Committee
Education
  • LL.B., Seoul National University
Experience
  • Director of Planning, Legal Training Institute
  • Senior Prosecutor, Seoul Southern District Prosecutors' Office
  • Prosecutor, Seoul High Prosecutors' Office
  • Prosecutor, Gwangju High Prosecutors' Office
  • Attorney, Daeyoon Law Office
LEE JIN HO
LEE JIN HO | CPO
Education
  • B.S. in Applied Statistics, Konkuk University
Experience
  • General Manager, Pie Healthcare Co., Ltd.
  • Chief Product Officer
JO YOUNG DAE
JO YOUNG DAE | CTO
Education
  • Incoming M.S./Ph.D. Program in Biomedical Sciences, Seoul National University College of Medicine
Experience
  • AI Engineer, Pie Healthcare Co., Ltd.
  • Chief Information Officer / Principal Researcher
PARK JUNG WOO
PARK JUNG WOO | CISO
Education
  • M.S. in Artificial Intelligence, Korea University
Experience
  • AI Engineer, Pie Healthcare Co., Ltd.
  • Chief Information Security Officer
KIM TAE HYUNG
KIM TAE HYUNG | RA
Education
  • B.S. in Materials Science and Engineering, Seoul National University of Science and Technology
Experience
  • Head of Regulatory Affairs, Pie Healthcare Co., Ltd.
SHIN YOON HEE
SHIN YOON HEE | Chief Statistician
Experience
  • Registered Nurse, Department of Neurology, Seoul National University Hospital
  • Senior Statistician / Clinical Research Committee Member
KIM YOUNG JIN
KIM YOUNG JIN | AI Engineer
Education
  • M.S. in Artificial Intelligence, Korea University
Experience
  • AI Engineer, Pie Healthcare Co., Ltd.
  • Researcher
LEE DA SOM
LEE DA SOM | AI Engineer
Education
  • B.S. in Automotive ICT Engineering, Hoseo University
Experience
  • AI Engineer, Pie Healthcare Co., Ltd.
  • Researcher
LEE JUN HAN
LEE JUN HAN | AI Engineer
Education
  • B.B.A. in Business Administration, Myongji University
Experience
  • AI Engineer, Pie Healthcare Co., Ltd.
  • Researcher

Contact us

 For inquiries regarding DOCTOR EYE, please contact us at contact@pie-healthcare.com. 

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Piehealthcare Co., Ltd.    Business Registration No: 124-87-49047    Email: contact@pie-healthcare.com Address: Piehealthcare Bldg, 343 Suseong-ro, Jangan-gu, Suwon-si, Gyeonggi-do, Republic of Korea    Tel: +82 31-252-7266/7267
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Address

Piehealthcare

  • Headquarter - 343, Suseong-ro, Jangan-gu, Suwon-si, Gyeonggi-do, Republic of Korea
  • Seocho branch office - 5, Wonteo 4-gil, Seocho-gu, Seoul, Republic of Korea

PIEAI

  • Headquarter - 343, Suseong-ro, Jangan-gu, Suwon-si, Gyeonggi-do, Republic of Korea
  • Silicon Valley Office - 105 N 1st St #1710, San Jose, CA 95113, USA