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Anuja Bandyopadhyay, MD

Shows

Breathe EasyBreathe EasyArtificial Intelligence in Sleep Medicine: the Past, the Present, and the Future (Episode 2 of 2)The AI in Sleep Medicine Podcast series (2 episodes) will help users apply the principles of machine learning to clinical care and conceptualize future applications of AI in pediatric and adult sleep medicine. In episode 2, the guest speakers delve into current use cases,  potential opportunities, and possible challenges of AI in sleep medicine. 2024-03-1247 minBreathe EasyBreathe EasyArtificial Intelligence in Sleep Medicine: the Past, the Present, and the Future (Episode 1 of 2)The AI in Sleep Medicine Podcast series (2 episodes) will help users apply the principles of machine learning to clinical care and conceptualize future applications of pediatric and adult sleep medicine. Episode 1 focuses on the definitions and applications of AI in sleep medicine. References: Sendak MP, Gao M, Brajer N, Balu S. Presenting machine learning model information to clinical end users with model facts labels. NPJ digital medicine. 2020 Mar 23;3(1):41.Rajpurkar P, Chen E, Banerjee O, Topol EJ. AI in health and medicine. Nature medicine. 2022 Jan;28(1):31-8.s 2024-01-0951 minTalking SleepTalking SleepArtificial Intelligence in Sleep MedicineFrom AI-assisted scoring to personalized sleep treatments, artificial intelligence has incredible potential in sleep medicine. In this episode, we talk to AASM AI committee members Dr. Anuja Bandyopadhyay and Sam Rusk to learn more about current and future applications of AI, the value to patients, and plans for an AASM certification program to validate and standardize AI scoring software. 2021-04-0826 min