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Available to mentor
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Cathy Goldstein, M.D. is a professor of Neurology at the University of Michigan Sleep Disorders Center and faculty lead of the Eisenberg Family Depression Center Mobile Technologies core and the UM Mobile Technology Research Innovation Collaborative (MeTRIC).
Dr. Goldstein's research uses consumer facing sleep tracking devices and mathematical modeling to assess sleep patterns and circadian rhythms in the ambulatory, day-to-day setting to determine their role in health and disease (including in women’s reproductive health, multiple sclerosis, and gastrointestinal conditions). Her expertise in sleep tracking technology is highlighted by her role as one of the lead authors of the ‘State of the Science and Recommendations for Using Wearable Technology in Sleep and Circadian Research’ from the Sleep Research Society (SRS) and as a member of the task force for Consumer Sleep Tracker Guidelines by the World Sleep Society (WSS).
She serves the sleep community as one of the senior editors of the sleep field’s sentinel text, Principles and Practice of Sleep Medicine, and additionally, holds editorial roles for UpToDate and the Journal of Clinical Sleep Medicine. She was previously the chair of the American Academy of Sleep Medicine (AASM)’s Artificial Intelligence in Sleep Medicine Committee and speaks internationally in this area.
In her work at the U-M Sleep Disorders Center, she cares for patients with various conditions such as obstructive sleep apnea, insomnia, restless legs syndrome, and circadian rhythm sleep-wake disorders, as well as participating in the training of future sleep physicians. She is the sleep department’s physician champion for virtual care and Epic, and the billing and compliance officer for Neurology.
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Center MemberEisenberg Family Depression Center
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Center MemberPrecision Health Initiative
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Center Membere-Health and Artificial Intelligence Initiative
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Goldstein C, Ghanbari H, Sharma S, Collop N, Loring Z, Walsh C, Herreshoff E, Pollock M, Frankel D, Rosen I. Sleep, 2024 Apr 20; 47 (Supplement_1): a126 - a127.Journal Article0293 Evaluation of a Single Point of Contact Chest-worn HSAT with ECG-based Atrial Fibrillation Detection
DOI:10.1093/sleep/zsae067.0293 -
de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. Sleep, 2024 Apr 12; 47 (4):Journal ArticleState of the science and recommendations for using wearable technology in sleep and circadian research.
DOI:10.1093/sleep/zsad325 PMID: 38149978 -
Dutt M, Swanson L, Arnedt JT, Chervin RD, Goldstein C. 2024 Atlas of Clinical Sleep Medicine, 147 - 160.e1.ChapterChapter 18 Impact, presentation, and diagnostic considerations
DOI:10.1016/b978-0-323-65403-6.00027-5 -
Bandyopadhyay A, Goldstein C. 2024 Artificial Intelligence in Clinical Practice, 195 - 199.ChapterChapter 22 Artificial intelligence in sleep medicine
DOI:10.1016/b978-0-443-15688-5.00001-2 -
Farnsworth W, Johnson A, Almeida A, Goldstein C. 2024 Sleep and Sport, 121 - 136.ChapterChapter 8 Sleep and cognitive performance in athletes
DOI:10.1016/b978-0-12-822969-9.00004-3 -
Kryger MH, Avidan A, Goldstein C. 2024 Atlas of Clinical Sleep Medicine, x - xi.ChapterPreface
DOI:10.1016/b978-0-323-65403-6.00005-6 -
Goldstein C, Duval E, Burgess H, Coughlin L. 2023 Sep;Presentation"Sleep, stress, & substance use: Where do they meet and how do we treat?"
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Bandyopadhy A. 2023 Aug 25;Additional ScholarshipAmerican Thoracic Society (ATS): AI Podcast, "Artificial intelligence (AI) in Sleep Medicine"