Professional role
Associate Professor of Neurology[1]
JC
Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. · Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome.
Reviewed sources document Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. and Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome.. Explore attributed publications and research affiliations.
Explore researchRecent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications.[1]
Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome.[1]
Sources are listed once and connected to each accepted claim they support. Excerpts preserve the source language used in the review.
6 source claims · Reviewed Sep 9, 2026
Degree: M.D., M.S.
Joseph Cheung, M.D., M.S.Associate Professor of Neurology Dr. Cheung is a fellow of the American Academy of Sleep Medicine. He was the recipient of the 2023 Wayne A. Hening Sleep Medicine Investigator Award by the American Academy of Neurology as well as a recipient of an NIH K23 award. He sub-specializes in the evaluation and management of hypersomnia disorders. Dr. Cheung is a member of the Mayo Clinic Academy of Educational Excellence. Dr. Cheung’s goal is to help train the next generation of sleep medicine specialists with excellent skills in AI technologies and applications. Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome. Dr. Cheung's PubMed citations
Identity: Joseph Cheung, M.D., M.S.
Joseph Cheung, M.D., M.S.Associate Professor of Neurology Dr. Cheung is a fellow of the American Academy of Sleep Medicine. He was the recipient of the 2023 Wayne A. Hening Sleep Medicine Investigator Award by the American Academy of Neurology as well as a recipient of an NIH K23 award. He sub-specializes in the evaluation and management of hypersomnia disorders. Dr. Cheung is a member of the Mayo Clinic Academy of Educational Excellence. Dr. Cheung’s goal is to help train the next generation of sleep medicine specialists with excellent skills in AI technologies and applications. Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome. Dr. Cheung's PubMed citations
Professional role: Associate Professor of Neurology
Joseph Cheung, M.D., M.S.Associate Professor of Neurology Dr. Cheung is a fellow of the American Academy of Sleep Medicine. He was the recipient of the 2023 Wayne A. Hening Sleep Medicine Investigator Award by the American Academy of Neurology as well as a recipient of an NIH K23 award. He sub-specializes in the evaluation and management of hypersomnia disorders. Dr. Cheung is a member of the Mayo Clinic Academy of Educational Excellence. Dr. Cheung’s goal is to help train the next generation of sleep medicine specialists with excellent skills in AI technologies and applications. Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome. Dr. Cheung's PubMed citations
Professional role: fellow of the American Academy of Sleep Medicine
Joseph Cheung, M.D., M.S.Associate Professor of Neurology Dr. Cheung is a fellow of the American Academy of Sleep Medicine. He was the recipient of the 2023 Wayne A. Hening Sleep Medicine Investigator Award by the American Academy of Neurology as well as a recipient of an NIH K23 award. He sub-specializes in the evaluation and management of hypersomnia disorders. Dr. Cheung is a member of the Mayo Clinic Academy of Educational Excellence. Dr. Cheung’s goal is to help train the next generation of sleep medicine specialists with excellent skills in AI technologies and applications. Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome. Dr. Cheung's PubMed citations
Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications.
Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications.
Research interests: Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome.
Joseph Cheung, M.D., M.S.Associate Professor of Neurology Dr. Cheung is a fellow of the American Academy of Sleep Medicine. He was the recipient of the 2023 Wayne A. Hening Sleep Medicine Investigator Award by the American Academy of Neurology as well as a recipient of an NIH K23 award. He sub-specializes in the evaluation and management of hypersomnia disorders. Dr. Cheung is a member of the Mayo Clinic Academy of Educational Excellence. Dr. Cheung’s goal is to help train the next generation of sleep medicine specialists with excellent skills in AI technologies and applications. Research interests: Recent major focus is in generative artificial intelligence (Large Language Models) and how it may be useful in sleep medicine applications. Specifically, we are applying LLMs to augment diagnostic capabilities and to enhance clinicians' workflow, with a goal to ultimately improve patient outcome. Dr. Cheung's PubMed citations