NEJM AI Grand Rounds

Dr. Rohaid Ali and Dr. Fatima Mirza, chief residents at Brown University, dive into their innovative applications of AI in healthcare. They discuss transforming surgical consent forms with ChatGPT for better patient understanding and creating a custom AI-generated voice for a young patient who lost hers to a brain tumor. Balancing personal and professional dynamics as a couple, they share stories from their journeys and playful insights through a newlywed game segment, while emphasizing the importance of equitable access and responsible AI deployment in medicine.

Dr. Adam Rodman, a physician interested in AI and medicine, discusses the evolution of clinical reasoning, probabilistic models, AI in diagnostics, and his work with GPT-4. He emphasizes the need for collaboration between computer scientists and medical professionals to harness AI's potential while avoiding misapplications.

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.

Dr. Daphne Koller, an AI and health care expert, discusses her evolution from theoretical AI to practical machine learning applications. She explores the challenges of applying AI to biology and highlights its potential in drug discovery. Koller advocates for democratizing AI to enable broader participation in scientific inquiry.

Dr. Eric Horvitz shares his journey from neurobiology to AI in medicine. Discusses importance of probabilistic models and decision theory in AI. Reflects on responsible AI development. Explores applications of GPT-4 in medicine and legacy of ethical AI leadership. Navigating complex terrain of AI ethics.

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.

Dr. Roxana Daneshjou, Assistant professor at Stanford specializing in dermatology, shares her journey in AI research. She discusses AI fairness and bias in dermatology and the challenges of integrating language models in healthcare. Dr. Daneshjou emphasizes the need for interdisciplinary collaboration and highlights the importance of addressing disparities in AI performance across diverse skin tones.

Dr. Zak Kohane, an expert in Medicine and AI, shares his journey into AI and medicine, including his early influences from science fiction authors. He discusses the impact of large language models in medicine and reflects on the challenges and opportunities in medical AI today. Kohane also talks about mentorship, nurturing talent, and the advancements of AI in the medical field, including the use of language models and the challenges of keeping educational and medical systems up to date.

In this episode, Dr. Judy Wawira Gichoya, Associate Professor in the Department of Radiology and Imaging Sciences at Emory University School of Medicine, details her journey from Kenya to the United States, from interventional radiology to artificial intelligence. Transcript. 

Vanguard geneticist Dr. George Church discusses his pioneering work in genomics and synthetic biology, including DNA sequencing and CRISPR gene editing. He shares controversial ideas about resurrecting wooly mammoths and using genome sequencing in dating apps. Dr. Church emphasizes the potential for synthetic biology and genetics to transform medicine and society, and explores the impact of AI on biology, including protein and nucleic acid design. The chapter also delves into the democratization of gene editing and AI technology and the importance of ethics and protocols.