Available to mentor
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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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 -
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 -
de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. Sleep, 2023 Dec 27;Journal ArticleState of the Science and Recommendations for Using Wearable Technology in Sleep and Circadian Research.
DOI:10.1093/sleep/zsad325 PMID: 38149978 -
Bandyopadhy A. 2023 Aug 25;Additional ScholarshipAmerican Thoracic Society (ATS): AI Podcast, "Artificial intelligence (AI) in Sleep Medicine"
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Burgess HJ, Bahl S, Wilensky K, Spence E, Jouppi RJ, Rizvydeen M, Goldstein C, Kim HM, Williams DA, Burns JW. Pain Med, 2023 Jul 5; 24 (7): 787 - 795.Journal ArticleA 4-week morning light treatment with stable sleep timing for individuals with fibromyalgia: a randomized controlled trial.
DOI:10.1093/pm/pnad007 PMID: 36715638 -
2023 Jun 7;Presentation"Wearable Technology"
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2023 Jun 7;PresentationDiscussion group chair, "Practical Guidelines for Using Wearable Technology in Sleep and Circadian Research"