Requests
AI Doctor 3.0
One integrated architecture for
Cognition • Perception • Action • Intuition
Cognition • Perception • Action • Intuition
Research Areas
Four tightly coupled engines powering one AI doctor system.
Clinical Agents
Cognition. Multi-agent orchestration turns evidence into transparent MDT-level decisions.
Foundation Perception
Perception. Self-supervised multimodal fusion unifies pathology, imaging, and genomics.
Surgical Intelligence
Action. From AR navigation to embodied assistance, we turn perception into intervention.
Mechanism Engine
Intuition. Explainable omics modeling reveals the biological “why” behind disease.
Lab AI Usage
Updated 2026-04-06
Tokens
32.47B
Cost
$27.14K
Team
Principal Investigator
Feng GAO
Professor
My research leverages AI and big data to improve diagnostics, prognostics, and ultimately, outcomes in cancer and other biomedical fields.
Artificial Intelligence
Colorectal Cancer
Senior Faculty
Xiao-Tong Luo
Associate Professor
My research integrates bioinformatics, algorithm development, and data analytics to advance early cancer diagnosis, prognostic stratification, and immunotherapy.
Bioinformatics
Artificial Intelligence
De-Jun FAN
Associate Professor
My research explores the intersection of gastrointestinal endoscopy (GIE) and artificial intelligence (AI), along with the biological mechanisms of colorectal cancer development.
Gastrointestinal Endoscopy
Artificial Intelligence
Chao WANG
Associate Professor
I have been engaged in the subspecialties of gastrointestinal pathology and breast pathology for more than ten years and am also a senior member of the MDT team.
Gastrointestinal Pathology
Digital Pathology
Staff
Jie-Yu CHEN
Dentist
I am a dentist interested in orthodontics and AI-assisted imaging analysis.
Deep Learning
Orthodontics
Shu-Ting YANG
Physician
An endocrinologist passionate about artificial intelligence and diabetes, focusing on applying machine learning and bioinformatics to diabetes heterogeneity research.
Artificial Intelligence
Endocrinology
Qi-Qi ZHU
Surgeon
I am a surgeon focusing on colorectal cancer and translational bioinformatics in clinical practice.
Bioinformatics
Colorectal Cancer
Feng ZHANG
Physician
I am a physician in rheumatology and a current PhD student, focusing on intestinal microecology and host immunity in translational biomedical research.
Intestinal Microecology
Human Immunity
Du CAI
Postdoc
I focus on leveraging explainable AI and large foundation models to advance medical imaging and digital pathology in colorectal cancer research.
Artificial Intelligence
Colorectal Cancer
Hao-Ning QI
Postdoc
I am a postdoctoral researcher working on AI for colorectal cancer with a focus on clinically actionable models.
Colorectal Cancer
Artificial Intelligence
Jin-Ping CHEN
Postdoc
My research involves the analysis of brain structure and functional imaging in pituitary adenomas, as well as emotion and cognition.
Neuroimaging analysis
Pituitary adenoma
Cheng-Hang LI
Research Assistant
I am a research assistant focusing on deep learning, multimodal feature fusion, and medical AI system development.
Deep Learning
Feature Fusion
Jia-Xin LEI
Research Assistant
I am a research assistant interested in deep learning and medical image analysis for clinical applications.
Deep Learning
Current Students
Min-Yi LV
PhD Student
I am a PhD student at Guangzhou National Laboratory, focusing on colorectal cancer research, biostatistics, and evidence-driven clinical modeling.
Colorectal Cancer
Biostatistics
Chu-Ling HU
PhD Student
I am a PhD student focusing on AI-driven colorectal cancer research and clinically useful model development.
Colorectal Cancer
Artificial Intelligence
Bao-Wen GAI
PhD Student
I am a PhD student working on AI methods for colorectal cancer diagnosis and prognosis.
Colorectal Cancer
Artificial Intelligence
Ke-Cheng WU
PhD Student
I am a PhD student working on deep learning and medical image analysis for intelligent surgical applications.
Deep Learning
Medical Image Analysis
Yin-Meng ZHANG
PhD Student
I am a PhD student working on AI methods for colorectal cancer research and translational clinical applications.
Colorectal Cancer
Artificial Intelligence
Chong-Xiang GAO
PhD Student
I am a PhD student studying AI applications in urology, with interests in clinically oriented translational research.
Urology
Artificial Intelligence
Jun XIANG
PhD Student
My research leverages AI and big data to improve diagnostics, prognostics, and ultimately, outcomes in colorectal cancer.
Artificial Intelligence
Colorectal Cancer
Ren-De HUANG
Research Student
I am a research student working on AI methods for colorectal cancer analysis and clinical decision support.
Colorectal Cancer
Artificial Intelligence
Shu-Xin ZHENG
Research Student
My research focuses on neoantigen discovery, tumor bioinformatics, and the development of bioinformatics databases.
Bioinformatics
Neoantigen
Shun-Hui DENG
Research Student
My research focuses on neoantigen discovery, tumor bioinformatics, and the development of bioinformatics databases.
Bioinformatics
Neoantigen
Wen DONG
Research Student
Wen DONG is a master's student in Dermatology. She is pursuing her degree at the Sixth Affiliated Hospital of Sun Yat-sen University. She is now interested in studying genetic skin diseases.
Genodermatosis
Artificial Intelligence
Hui-Ting TANG
Research Student
I work at the intersection of AI and genodermatoses, focusing on multimodal large language models for skin cancer screening and diagnosis in rare inherited skin diseases.
Artificial Intelligence
Genodermatoses
Jing-Lin HUANG
Research Student
My research interests center on the application of artificial intelligence to molecular diagnostics and sequencing data analysis.
Artificial Intelligence
Molecular Diagnosis
Sequencing Data Analysis
Publications
† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members
(2026).
Journal Article
INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy.
CGH.
(2026).
Journal Article
Multi-omics driven immune classification of colorectal cancer: Implications for immunotherapy efficacy prediction and enhancement with WNT signaling inhibition.
Cancer Letters.
(2025).
Journal Article
PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers.
NAR.
(2025).
Journal Article
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning.
Advanced Science.
(2025).
Journal Article
Personalized risk stratification in colorectal cancer via PIANOS system.
Nature Communications.
News
Lab Update: Our in-house LLM platform has delivered 30B+ tokens
Since our lab’s in-house large language model platform went live on March 12, 2026, it has now delivered more than 30 billion tokens for internal research and daily work. As of …
GitHub Release: MedAutoScience, our human-auditable medical research platform
Our lab publicly released MedAutoScience on GitHub on March 29, 2026. It is an agent-first, human-auditable platform for progressing disease-focused medical studies from versioned …
CGH: INTELCAPE for automated, high-accuracy Crohn's disease diagnosis via capsule endoscopy
Our team published INTELCAPE in Clinical Gastroenterology and Hepatology, an AI system for automated capsule endoscopy analysis that supports faster and more accurate Crohn’s …
Cancer Letters: Multi-omics immune classification reveals immunotherapy opportunities in colorectal cancer
Our team published MotifCC in Cancer Letters, a multi-omics immune classification framework for colorectal cancer that links tumor heterogeneity to prognosis and immunotherapy …
Contact
Visit Our Lab
Medical AI Lab
The Sixth Affiliated Hospital of Sun Yat-sen University
4th Floor, Phase IV, Building M3
Guangzhou International Bio Island
Guangzhou, Guangdong
Connect
Email
gaof57@mail.sysu.edu.cn
Web
fenggaolab.org
For collaborations, student inquiries, and lab visits.