{"title":"Transforming sleep medicine: the evolving role of artificial intelligence.","authors":"Prakash Banjade, Munish Sharma, Salim Surani","doi":"10.1097/MCP.0000000000001210","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>Artificial intelligence (AI) is in the era of rapid evolution. Like other healthcare fields, AI has significantly impacted sleep medicine. We aim to explain the evolving role of AI in sleep medicine and provide clinicians with key information related to its benefits and limitations.</p><p><strong>Recent findings: </strong>AI technologies, like machine learning and deep learning, improve the detection of sleep disorders, such as obstructive sleep apnea, insomnia, and narcolepsy, through advanced data analysis from tools like polysomnography and consumer sleep devices. AI also enables targeted therapies by endotyping sleep disorders, optimizing patient care, and reducing unnecessary treatments. On the other hand, there are many challenges that need to be addressed before using AI in clinical settings. Ethical issues regarding patient privacy, biases, and transparency regarding data use are some of the key challenges.</p><p><strong>Summary: </strong>AI could transform sleep medicine by enhancing diagnostic accuracy and personalizing treatment plans. Effective collaboration between clinicians and AI experts is necessary to use AI optimally in clinical settings.</p>","PeriodicalId":11090,"journal":{"name":"Current Opinion in Pulmonary Medicine","volume":" ","pages":"571-576"},"PeriodicalIF":2.8000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Pulmonary Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MCP.0000000000001210","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: Artificial intelligence (AI) is in the era of rapid evolution. Like other healthcare fields, AI has significantly impacted sleep medicine. We aim to explain the evolving role of AI in sleep medicine and provide clinicians with key information related to its benefits and limitations.
Recent findings: AI technologies, like machine learning and deep learning, improve the detection of sleep disorders, such as obstructive sleep apnea, insomnia, and narcolepsy, through advanced data analysis from tools like polysomnography and consumer sleep devices. AI also enables targeted therapies by endotyping sleep disorders, optimizing patient care, and reducing unnecessary treatments. On the other hand, there are many challenges that need to be addressed before using AI in clinical settings. Ethical issues regarding patient privacy, biases, and transparency regarding data use are some of the key challenges.
Summary: AI could transform sleep medicine by enhancing diagnostic accuracy and personalizing treatment plans. Effective collaboration between clinicians and AI experts is necessary to use AI optimally in clinical settings.
期刊介绍：
Current Opinion in Pulmonary Medicine is a highly regarded journal offering insightful editorials and on-the-mark invited reviews, covering key subjects such as asthma; cystic fibrosis; infectious diseases; diseases of the pleura; and sleep and respiratory neurobiology. Published bimonthly, each issue of Current Opinion in Pulmonary Medicine introduces world renowned guest editors and internationally recognized academics within the pulmonary field, delivering a widespread selection of expert assessments on the latest developments from the most recent literature.
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