Season 6 | Episode 17
DR. MARGARITA OKS AND MATT ANASTASI, GUESTS
AI is popping up everywhere — when we open a PDF, use an AI scribe, or look something up with Chat GPT. We all interface with AI daily and may not even realize it. This can become very complex and somewhat mysterious. How can we use AI in a sleep medicine practice? Is it trustworthy? Will we all be replaced by AI someday? The AASM has an AI committee tasked with these questions. In this episode, we talk with committee members Dr. Margarita Oks and Matt Anastasi about a SWOT analysis on the use of AI-enabled technology in sleep medicine.
Margarita Oks, MD, FCCP, serves as the program director of the Pulmonary Critical Care fellowship and associate program director of sleep medicine fellowship, at Lenox Hill Hospital, is part of the sleep medicine faculty, and is the associate medical director of the Lenox Hill Sleep Center. She is currently chair of the Artificial Intelligence in Sleep Medicine committee of the American Academy of Sleep Medicine.
Matthew Anastasi, RPSGT, FAAST, is Sleep Team Resources Manager at the AASM, which includes roles as staff liaison for the AI in Sleep Medicine Committee, product owner for the Autoscoring Certification Program, and project manager for the Sleep ISR interscorer reliability program. He began his sleep career as a research technologist in Dr. Allan Pack’s lab at the University of Pennsylvania’s Chronobiology and Sleep Institute, the nation’s first multidisciplinary comprehensive sleep center. Later, he served as a clinical manager at medical-school wide hospitals including the University of Pittsburgh Medical Center in Dr. Patrick Strollo’s clinical laboratory. Before joining the AASM staff in 2021, he was the CEO of a consulting firm which provided subject matter expertise to industry and educational resources to guide sleep clinicians through the pandemic. Throughout his career, Matt has helped transform health care delivery and its knowledge underpinnings, and is currently focused on providing clinical support, workforce development, and guidance on artificial intelligence to AASM members.
Resources
- Bandyopadhyay A, Oks M, Sun H, Prasad B, Rusk S, Jefferson F, Malkani RG, Haghayegh S, Sachdeva R, Hwang D, Agustsson J, Mignot E, Summers M, Fabbri D, Deak M, Anastasi M, Sampson A, Van Hout S, Seixas A. Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary. J Clin Sleep Med. 2024 Jul 1;20(7):1183-1191. https://doi.org/10.5664/jcsm.11132
- Goldstein CA, Berry RB, Kent DT, Kristo DA, Seixas AA, Redline S, Westover MB, Abbasi-Feinberg F, Aurora RN, Carden KA, Kirsch DB, Malhotra RK, Martin JL, Olson EJ, Ramar K, Rosen CL, Rowley JA, Shelgikar AV. Artificial intelligence in sleep medicine: an American Academy of Sleep Medicine position statement. J Clin Sleep Med. 2020 Apr 15;16(4):605-607. https://doi.org/10.5664/jcsm.8288
- Goldstein CA, Berry RB, Kent DT, Kristo DA, Seixas AA, Redline S, Westover MB. Artificial intelligence in sleep medicine: background and implications for clinicians. J Clin Sleep Med. 2020 Apr 15;16(4):609-618. https://doi.org/10.5664/jcsm.8388
- Artificial Intelligence (resources developed by the AASM Artificial Intelligence in Sleep Medicine Committee)