Tokyo, Feb. 27 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000060746) titled 'Study on Prediction and Biomarker Exploration of Sleep Disorders Using Physiological Data' on Feb. 27.

Study Type: Observational

Primary Sponsor: Institute - National Center of Neurology and Psychiatry

Condition: Condition - Sleep Disorders Classification by malignancy - Others Genomic information - NO

Objective: Narrative objectives1 - The aim of this study is to develop an artificial intelligence (AI) model that automatically estimates clinical test results and questionnaire assessments using multidimensional physiological time-series data obtained from overnight polysomnography (PSG) and multiple sleep latency test (MSLT) recordings. Feature contribution analyses will also be conducted to visualize the model's decision-making process, in order to explore the potential application of explainable AI (XAI) for diagnostic support and early detection of sleep disorders. Basic objectives2 - Others

Eligibility: Age-lower limit - Not applicable Age-upper limit - Not applicable Gender - Male and Female Key inclusion criteria - Individuals whose multidimensional physiological time-series data, including PSG and MSLT recordings, were obtained at National Center Hospital, National Center of Neurology and Psychiatry between January 2013 and January 31, 2026. Key exclusion criteria - Individuals who have declined the use or disclosure of their medical information. For minors, those who have declined such use or disclosure, or whose legally authorized representatives have declined on their behalf. Target Size - 4400

Recruitment Status: Recruitment status - Open public recruiting Date of protocol fixation - 2026 Year 01 Month 14 Day Date of IRB - 2026 Year 01 Month 20 Day Anticipated trial start date - 2026 Year 01 Month 20 Day Last follow-up date - 2028 Year 03 Month 31 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000069504

Disclaimer: Curated by HT Syndication.