NEJM AI Grand Rounds Translational AI in Medicine: Unlocking AI’s Potential in Health Care with Nigam Shah
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May 15, 2024 Dr. Nigam Shah, a distinguished Professor of Medicine at Stanford University, discusses the transformative impact of computational tools in healthcare, the integration of AI into clinical settings, the importance of data quality in training AI systems, and the democratization of medical knowledge. The conversation also explores the role of open-source models, the application of AI in administrative tasks at Stanford healthcare, and the potential of large language models in medicine.
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Meandering Path to Bioinformatics
- Nigam Shah's career path was non-linear, starting as a doctor in India and intending to be an orthopedic surgeon.
- A family friend convinced him to pursue a PhD in bioinformatics after the Human Genome Project inspired him.
Ontologies' Comeback
- Ontologies and knowledge representation will be important in the current era of large language models (LLMs).
- They allow for efficient storage of prior knowledge, which can be injected into LLMs.
Learning by Doing
- Experiment and learn outside your main job to acquire new skills.
- Spinning out companies taught Nigam Shah the business of healthcare.