What if AI could revolutionize healthcare with advanced language learning models? Sarah and Elad welcome Karan Singhal, Staff Software Engineer at Google Research, who specializes in medical AI and the development of MedPaLM2. On this episode, Karan emphasizes the importance of safety in medical AI applications and how language models like MedPaLM2 have the potential to augment scientific workflows and transform the standard of care.
Other topics include the best workflows for AI integration, the potential impact of AI on drug discoveries, how AI can serve as a physician's assistant, and how privacy-preserving machine learning and federated learning can protect patient data, while pushing the boundaries of medical innovation.
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Show Notes:
[00:22] - Google's Medical AI Development
[08:57] - Medical Language Model and MedPaLM 2 Improvements
[18:18] - Safety, cost/benefit decisions, drug discovery, health information, AI applications, and AI as a physician's assistant.
[24:51] - Privacy Concerns - HIPAA's implications, privacy-preserving machine learning, and advances in GPT-4 and MedPOM2.
[37:43] - Large Language Models in Healthcare and short/long term use.
