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Make the Most out of Innovation and Ensure it’s Done Right!Responsible AI in a Healthcare System | ||
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As the use of artificial intelligence (AI) moves from being a curiosity to a necessity, it is clear that the benefit obtained from using AI models to prioritise care interventions is an interplay of the model’s performance, the capacity to intervene, and the benefit/harm profile of the intervention. After a brief review of the kinds of use cases that AI can serve across multiple medical specialties, we will discuss Stanford Healthcare’s efforts to shape the adoption of health AI tools to be useful, reliable and fair so that they lead to cost-effective solutions that meet healthcare’s needs. We We will conclude with the rationale and vision for collaborative activities such as the Coalition for Health AI. We will discuss how the adoption of LLMs in medicine needs to be shaped by performing the evaluations that specify the desired benefits and verify those benefits via testing in real-world deployments. The conversation will draw on examples from multiple specialties including pathology, cardiology, internal medicine, surgery, psychiatry and oncology. This Community Forum will be taking place virtually on 18 February at 16:00-17:30 (GMT) / 11:00-12:30 (EST) / 17:00-18:30 (CET)
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