Source link : https://health365.info/artificial-records-boosts-gait-evaluation-ai-skilled-on-simulations-competitors-current-fashions/
Schematic illustrations for our way the usage of man made musculoskeletal gaits for creating generalizable gait-analysis fashions. Credit score: Nature Communications (2025). DOI: 10.1038/s41467-025-61292-1
Gait evaluation is important for diagnosing and tracking neurological issues, but present scientific requirements stay in large part subjective and qualitative. Fresh advances in AI have enabled extra quantitative and available gait evaluation the usage of broadly to be had sensors equivalent to smartphone cameras.
Then again, maximum current AI fashions are designed for explicit affected person populations and sensor configurations, basically because of the shortage of various scientific datasets—a constraint frequently pushed through privateness considerations. In consequence, those fashions have a tendency to underperform when carried out to populations or settings now not smartly represented within the coaching records, restricting their broader scientific applicability.
In a learn about printed in Nature Communications, researchers from IBM Analysis, the Cleveland Medical institution, and the College of Tsukuba suggest a unique framework to triumph over this limitation. Their way comes to producing man made gait records the usage of generative AI skilled on physics-based musculoskeletal simulations.
Those simulations incorporate a extensive spectrum of musculoskeletal parameters—spanning age teams from kids to older adults, and…
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Publish date : 2025-07-31 14:24:00
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