​Artificial​ ​Intelligence​ ​in​ ​Healthcare:​ ​History,​ ​Clinical​ ​and​ ​Research​ ​Applications,​ ​Current Landscape,and Challenges​

Presentation File

Resources and references

  • https://www.openevidence.com/announcements/openevidence-ai-first-ai-score-above-90-percent-on-the-usmle Link

  • https://www.coatue.com/blog/press/partnering-with-openevidence Link

  • “CPH 100 / Data C146: Foundations of Computational Precision Health”, UC Berkeley, Fall 2025 Link

  • Clarity Link

  • Mirai Link

  • “Risk Reduction and Early Detection: Updates on Breast Cancer Screening with Dr. Connie Lehman” LINK

  • “Developing next-generation cancer care management with multi-agent orchestration” Link

  • “Evolution Of Neural Network” Link

  • “6.7930[6.871]/HST.956: Machine Learning for Healthcare”, MIT University, Spring 2025 Link

  • “UvA Foundation Models Course” , Cees Snoek, Yuki Asano , Spring 2024 Link Link

  • “AI Agents vs Agentic AI Systems” Link

  • AI-READI Link

  • Artificial Intelligence in Precision Medicine for Diabetes and Other Chronic Diseases, Day 2 Link

  • The Human Phenotype Project Link

  • Lee Reicher et al., “Deep phenotyping of health–disease continuum in the Human Phenotype Project”, nature medicine (2025)

  • Guy Lutsker et al., “From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis”, arxiv (2024)

  • Divya Shanmugam et al., “Generative Artificial Intelligence in Medicine”, Annual Review of Biomedical Data Science (2025)

  • Marcus A. Badgeley et al., “Deep learning predicts hip fracture using confounding patient and healthcare variables”, npj digital medicine (2019)

  • Ziad Obermeyer et al., “Dissecting racial bias in an algorithm used to manage the health of populations”, science, 2019

  • “CS 329T: Trustworthy Machine Learning , Large Language Models and Applications”, Stanford, Fall 2023

  • Introducing the Next Generation of Vectara’s Hallucination Leaderboard Link

  • Technically Accurate, Medically Fatal Link

  • Gemini 3.0 Pro Surpasses Radiology Trainees on Radiology’s Last Exam (RadLE) Link

  • Arthur Brant et al. “Performance of a Deep Learning Diabetic Retinopathy Algorithm in India”, JAMA Network Open (2025)

  • https://a2zradiology.ai/ Link

  • Advancing medical AI with Med-Gemini Link

  • AMIE: A research AI system for diagnostic medical reasoning and conversations Link

  • OWKIN MSIntuit® CRC Link

  • The Dawn of Spatial Medicine Link

  • Thierry M. Nordmann et al., “Spatial proteomics identifies JAKi as treatment for a lethal skin disease”, nature(2024)

  • Zhuoting Zhu et al., “Oculomics: Current concepts and evidence”, Progress in Retinal and Eye Research (2025)

  • Reti-CVD Link

  • AI in Medical Education Symposium, Stanford university, 2025 Link

  • Precision Medicine 2024: Education in the AI Era, Harvard University, 2024, Link

  • E. Abdulnour et al., “Educational Strategies for Clinical Supervision of Artificial Intelligence Use”, The New England Journal of Medicine, 2025

  • AI Clinical Coach Link

  • DDx Link

  • AlphaFold Link

  • Zuojun Xu, “A generative AI-discovered TNIK inhibitor for idiopathic pulmonary fibrosis: a randomized phase 2a trial”, nature medicine (2025)

  • Eileen Kim, “AI Scribes Are Not Productivity Tools (Yet)”, Nejm AI (2025)

  • Hugo™ RAS System Link

  • Healthcare AI in 2025 – a reflection Link

  • The most interesting scientific papers I read last month , Jan Berger Link

  • The 2025 Physicians AI Report Link

Further resources

  • “ML/DL in Healthcare and Biomedicine Courses” Link