From #AIMI23 | Keynote Talk and Fireside Chat - Taha Kass-Haut · · StanfordAIMI
“Medical foundation models such as Med-PaLM 2 have achieved new state-of-the-art performance on medical benchmarks, and human evaluation showed Med-PaLM 2 answers were preferred to physicians and scored highly on factuality, medical reasoning and even empathy.”
On , Taha M.s., Chief Science & Technology Officer at GE HealthCare Technologies Inc, spoke about medical LLMs during #AIMI23 | Keynote Talk and Fireside Chat - Taha Kass-Haut on StanfordAIMI.
Taha Kass-Hout, Chief Science & Technology Officer at GE HealthCare, has discussed the company's focus on precision diagnostics and artificial intelligence. In a January 2023 interview, he described GE HealthCare's spin-off as a "catalyst moment" and outlined the company's D3 Precision Care strategy, which emphasizes smart devices, digital products, and personalization of diagnostics and therapeutics. He stated that the company aims to build an open framework for innovators and focus on disease states to help healthcare providers manage populations and costs. He also noted that patient privacy and cybersecurity are top priorities. In a June 2023 keynote at the Stanford AIMI Symposium, Kass-Hout discussed the potential of generative AI and foundation models in healthcare. He said that large models can help structure medical data, automate workflows, and improve diagnostic accuracy, citing examples such as AI that reduces organ contouring time from three hours to under 20 minutes. He described AI as an assistive tool to automate manual tasks rather than replace clinicians, and emphasized the need for interpretable and explainable AI, rigorous validation, and partnerships with cloud providers to scale healthcare AI.