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Anticipating AI failures in healthcare with Dr. Karandeep Singh
Manage episode 428087780 series 3575518
İçerik Pirate Audio and University of Michigan School of Information tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Pirate Audio and University of Michigan School of Information veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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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