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Anticipating AI failures in healthcare with Dr. Karandeep Singh
Manage episode 428087780 series 3575518
Pirate Audio and University of Michigan School of Information द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Pirate Audio and University of Michigan School of Information या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
Anticipating AI failures in healthcare with Dr. Karandeep Singh | In this episode of "Information Changes Everything," Dr. Karandeep Singh, a leader in machine learning within health systems, discusses the common challenges and failures in AI model implementation in healthcare. Using real-world examples, Dr. Singh addresses issues such as reproducibility, transportability, and intervention efficacy. He offers insights on anticipating these challenges, estimating their impact, and designing better interventions to improve patient care. Tune in to learn practical strategies for overcoming AI implementation roadblocks in healthcare. For the full video of this talk visit: https://www.youtube.com/watch?v=X19dfN5ZM6c&ab_channel=SchoolofInformation
Headlines: Jurgens: U-M is taking the lead on creating AI tools for faculty, students | umsi | Where do Nextdoor communities exist—and what do they talk about? | umsi, https://news.ncsu.edu/2024/04/nc-state-researchers-use-machine-learning-to-create-a-fabric-based-touch-sensor/
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