NEJM AI Grand Rounds AI Frontiers with James Zou: The Future of Multi-Modal AI in Medicine
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Feb 21, 2024 Expert in AI research, James Zou, discusses the future of multi-modal AI in medicine. Topics include using social media for medical data, ethical implications of AI, and challenges of model drift. Explore the convergence of genomics, machine learning, and medicine, as well as the unique use of Twitter for medical image discussions. Learn about training AI algorithms in medicine and the behavior changes of Chat GPT-4 over time. Dive into personal interests and AI art perception in the field of medicine.
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Journalism to AI
- James Zou initially wanted to be a journalist, pursuing math and writing.
- He discovered machine learning and genomics during graduate studies, combining these interests.
Twitter for Pathology
- Pathologists use Twitter to discuss challenging cases, creating a valuable dataset for AI.
- This data offers unique insights into complex diagnoses and expert discussions, unlike standard datasets.
Creative Data Sources
- Explore diverse data sources like social media and online videos for medical AI training.
- These sources can offer large-scale, annotated data, enhancing transparency and reproducibility.