Anuja Bandyopadhyay, Margarita Oks, Haoqi Sun, Bharati Prasad, Sam Rusk, Felicia Jefferson, Roneil Gopal Malkani, Shahab Haghayegh, Ramesh Sachdeva, Dennis Hwang, Jon Agustsson, Emmanuel Mignot, Michael Summers, Daniel Fabbri, Maryann Deak, Matthew Anastasi, Andrew Sampson, Steve Van Hout, Azizi Seixas
Over the past few years, artificial intelligence (AI) has emerged as a powerful tool used to efficiently automate several tasks across multiple domains. Sleep medicine is perfectly positioned to leverage this tool due to the wealth of physiological signals obtained through sleep studies or sleep tracking devices and abundance of accessible clinical data through electronic medical records. However, caution must be applied when utilizing AI, due to intrinsic challenges associated with novel technology. The Artificial Intelligence in Sleep Medicine committee of the American Academy of Sleep Medicine (AASM) reviews advancements in AI within the sleep medicine field...
March 27, 2024: Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine