Artificial intelligence is poised to be an instrumental and forefront partner in sleep medicine in the next decade, from assisting with PSG scoring to hopefully identifying novel therapeutic pathways. It is essential that all members of the sleep medicine community are well versed in its basics and understand its applications, while addressing valid concerns that already exist within the community.
Upon completion of this activity, participants should be able to…
- Define AI, and its subsets
- Have a basic understanding how AI works (the “learning” process of AI)
- Identify several ways in which AI can be helpful in the practice of sleep medicine
- Understand several concerns that exist with the application of AI in sleep medicine
Jón Skírnir Ágústsson, PhD
Jón Skírnir Ágústsson holds a master’s degree in electrical engineering and a PhD in physics, focused on metrology, the science of measurements, and data science. He is the VP of Artificial Intelligence and Data Research at Nox Medical, where he leads a team of scientists focused on developing novel methods of analyzing sleep data. His career has run the gamut of studying measurements of the electrical properties of individual molecules to developing novel technology to monitor pollution in water. He serves as a consultant to the AASM’s Artificial Intelligence in Sleep Medicine Committee.
Anuja Bandyopadhyay, MD
Anuja Bandyopadhyay is an Assistant Professor in the Department of Pediatrics at Indiana University School of Medicine. She is a board-certified pediatric pulmonologist and sleep physician with a strong interest in integrating advanced technology to facilitate personalized treatment of sleep-disordered breathing. She currently serves as the chair of the AASM’s Artificial Intelligence in Sleep Medicine Committee, which reviews advancements in artificial intelligence and develops educational resources to prepare members for its integration in clinical practice. She also serves as the co-chair of the Pediatric Gold Standard Panel of AASM’s Sleep ISR.
Joseph Castillo, RST, RPSGT, CCSH
Joseph Castillo holds a general medical degree from the National School of Medicine in El Salvador and an associate degree in nursing. He currently works as a sleep technologist and educator. In his 15-year career in the sleep field he has scored over 30,000 sleep studies with the aid of artificial intelligence, served on the examination development committee of the BRPT, and developed an educational module for the AASM’s CCSH program.
Margarita Oks, MD, FCCP
Margarita Oks graduated from Stony Brook Medical School and completed pulmonary/critical care medicine and sleep medicine fellowships at NS-LIJ/Northwell. She joined Lenox Hill Hospital as an Assistant Professor of Medicine at Donald and Barbara Zucker School of Medicine at Hofstra/Northwell in 2018. She serves as an Associate Program Director of the pulmonary critical care fellowship at Lenox Hill Hospital, is part of the sleep medicine faculty, and is the Associate Medical Director of the Lenox Hill Sleep Center. Dr. Oks’ scholarly interests include improving PAP adherence for OSA treatment as well as the advancement of artificial intelligence in the field of sleep medicine.
She currently serves as a member of the AASM’s Artificial Intelligence in Sleep Medicine Committee.
Sam Rusk holds a bachelor’s degree in electrical engineering from the University of Wisconsin-Madison. He is co-founder and President of EnsoData, a company whose mission is to simplify the process for analyzing the human body to accurately diagnose health conditions. With more than ten years of machine learning and signal processing research experience, he leads EnsoData’s artificial intelligence team supporting their FDA cleared EnsoSleep and core artificial intelligence research initiatives. He is focused on democratizing health care for all and advancing the confluence of technology and medicine. He serves as a consultant to the AASM’s Artificial Intelligence in Sleep Medicine Committee.
Mark Spiceland, RPSGT
Mark Spiceland is the Clinical Manager at Ascension St. Thomas Center for Sleep in middle Tennessee. A 5-location, 23-bed comprehensive testing facility that also provides DME and HSAT. He sits presently as Secretary of the Tennessee Polysomnographic Committee and takes part in both the AASM’s Respiratory and Sleep Technologists Committee and the AASM’s CCSH Subcommittee. He joined the ranks of RPSGTs over a decade ago and continues to struggle balancing his passion of sleep, along with soccer and his family.
Haoqi Sun, PhD
Haoqi Sun received his PhD in 2017 from Nanyang Technological University in Singapore with training in artificial intelligence and its application in brain signal analysis. He is an Instructor at Massachusetts General Hospital and Harvard Medical School. He has researched artificial intelligence applications in sleep medicine for more than 5 years. His research interests include extracting brain health markers from sleep signals using artificial intelligence. His research on sleep-based brain age was awarded the Outstanding Early Investigator Award by the Sleep Research Society in 2020. He currently serves as a member of the AASM’s Artificial Intelligence in Sleep Medicine Committee.