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AIRIS 2024
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The information will be provided for lecture videos and presentation materials for which copyright permission has been granted by the speakers.
| Session Topic | Suggested Subtopics | Speaker | Video | File |
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| [Plenary Addresses] Present and Prospects of AI Utilization |
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| Keynote Speech 1 | Innovating Healthcare for the Future: The Role and Prospects of AI |
In Chul Hwang Corporate Executive Vice President (Head of AI RnD), Samsung Electronics |
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| Keynote Speech 2 | GenAI Revelations from the Video Games Industry - Unleashed on Life Sciences |
Sam Glassenberg Founder & CEO, Level Ex |
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| [Session 1] Introduction to AI - Use of AI in Medical Product Development |
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| Presentation 1 | The Hinge Moment: Artificial Intelligence, Human Data, and Drug Development in the 21st Century |
David Reese MD, Executive Vice President, Amgen |
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| Presentation 2 | The Potential of AI in Biopharmaceutical Development |
Chaok Seok Professor/CEO, Seoul National University/Galux |
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| Presentation 3 |
AI / ML - Enabled Medical Devices: - Further Challenges that Generative AI Poses |
Johan Ordish Head of Digital Health and Innovation Policy, Roche |
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| Presentation 4 |
Open innovation for Medical AI development - Introduction of Dr. Answer 2.0 project- |
Ho-Young Lee Professor, Seoul National University Bundang Hospital |
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| [Session 2] Transparency, Explainability, and Bias |
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| Presentation 1 | Explainability & safe use of LLMs in clinical development |
Stephen Pyke Chief Clinical Data & Digital Officer, Parexel |
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| Presentation 2 | Principles and Applications of Explainable Artificial Intelligence |
Jaesik Choi Professor, KAIST |
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| Presentation 3 | Behavioral and Human Factors Considerations for Effective and Trustworthy Health AI |
Merage Ghane Ph.D Principal Behavioral Designer, Ideas42 |
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| Presentation 4 | Algorithmic Bias, Old and New |
Arjun Manrai PhD, Assistant Professor of Biomedical Informatics, Harvard Medical School |
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| Presentation 5 | Gap Exposed by AI: Bias from Legal Perspective and from Medical Perspective |
Won Bok Lee Professor, Ehwa Law School |
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| Presentation 6 | Tools for transparency: from data to development to device |
Alastair Denniston Hon Professor, University of Birmingham |
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| Presentation 7 | Transparency of AI from User's Perspective |
Seong Ho Park Professor, University of Ulsan College of Medicine |
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| [Session 3] AI Technology Trends for Medical Product Development |
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| Presentation 1 |
Trends and Convergence (including Standards) - Lessons Learned from other fields |
Pat Baird Regulatory Head of Global Software Standards, Phillips |
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| Presentation 2 | Quality assurance and improvement for Machine Learning-based clinical decision support systems |
Jean Feng Assistant Professor, Epidemiology & Biostatistics, UCSF |
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| Presentation 3 | Technical Standardization Trends on AI/ML-MD Performance Evaluation |
Jonghong Jeon Principal Researcher, Electronics and Telecommunications Research Institute |
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| Presentation 4 | The current and emerging use of AI in safety surveillance post-marketing |
Andrew Bate VP Safety Innovation and Analytics, GSK |
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| Presentation 5 | Leveraging network analysis and graph deep learning for drug discovery |
Sun Kim Professor, Seoul National University |
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| [Session 4] Regulatory Experience on the Use of AI in Medical Products |
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| Presentation 1 | Lunit's Global Regulatory Experience and Insights. |
Sunggyun Park Chief Product Officer, Lunit |
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| Presentation 2 |
Predetermined Change Control Plans - Supporting Efficient Regulatory Oversight of AI-Enabled Products |
Cassie Scherer Senior Director of U.S. Regulatory and Global Digital Health Policy, Medtronic |
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| Presentation 3 | Industry Perspectives on Regulatory Frameworks for AI/ML in Drug Development |
Ryan Hoshi Director, Regulatory Policy & Intelligence, AbbVie |
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| Presentation 4 | Standardized patient profile review using large language models for case adjudication in observational research |
Martijn Schuemie Research Fellow, Johnson & Johnson/OHDSI |
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| [Session 5] New Medical Products and Treatment Opportunities Using AI |
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| Presentation 1 | Unlocking rapid and safe innovation using Federated Computing |
Ittai Dayan MD, MPH, Co-founder and CEO, Rhino Health |
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| Presentation 2 | Precision Medicine at Scale: towards finding the right treatment for every patient |
Joseph Lehar PhD, Innovator · Executive · Advisor, SVP>SAB at Owkin |
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| Presentation 3 | AI-based Clinical Decision Support System (CDSS) and its Clinical Validation |
Hwiyoung Kim Professor, Yonsei University College of Medicine |
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| Presentation 4 | Current Landscape of Generative AI and Its Applications in Medicine |
Kyu-Hwan Jung Professor, Sungkyunkwan University |
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| Presentation 5 | Causal AI for Learning “Digital Twins” from Human Multi-OmicData for Drug Discovery and Clinical Development: A Cardiovascular Disease Case Study |
Bruce Church Chief Mathematics Officer, Aitia |
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