JAMA Medical News
AI and Clinical Practice—the Potential for AI to Augment Humanity in Medicine
Sep 27, 2023
JAMA Editor in Chief Kirsten Bibbins-Domingo and UCSF's Chief Research Informatics Officer Ida Sim discuss the transformative potential of AI in medicine, exploring generative AI and large language models. They reflect on AI augmentation in medicine and the importance of AI in medical practice. The potential role of AI in clinical practice is also explored, emphasizing the need for collaboration between computer science and medical professionals in AI innovation.
29:58
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Generative AI, using large language models, has the potential to revolutionize healthcare by augmenting clinical processes and improving operational efficiency.
- To successfully integrate AI in medicine, collaboration between computer science and clinical medicine is crucial, with active engagement from clinicians and focus on operational efficiencies, treatment optimization, and addressing real-world challenges.
Deep dives
The transformative nature of AI in clinical medicine
AI's entry into the medical field is transforming the dynamic between clinicians and patients, especially due to its human-like attributes. The previous focus on machine learning for prediction has shifted to generative AI, which uses large language models to generate natural language. This unprecedented ability for a machine to mimic human language and interactions has garnered both interest and fear. The integration of AI in patient-doctor interactions has the potential to revolutionize healthcare by augmenting clinical processes and improving operational efficiency.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
