AI-Driven Analysis of Cardiopulmonary Exercise Tests to Identify Gas Exchange and Ventilatory Thresholds.
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| Title: | AI-Driven Analysis of Cardiopulmonary Exercise Tests to Identify Gas Exchange and Ventilatory Thresholds. |
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| Authors: | Keir DA; School of Kinesiology, The University of Western Ontario, TH-4155, 1151 Richmond Street, London, ON, N6A 3K7, Canada. dkeir@uwo.ca.; Toronto General Research Institute, Toronto General Hospital, Toronto, ON, Canada. dkeir@uwo.ca.; Lawson Health Research Institute, London, ON, Canada. dkeir@uwo.ca., Zignoli A; Department of Industrial Engineering, University of Trento, Trento, Italy., Iannetta D; Department of Clinical and Experimental Sciences, The University of Brescia, Brescia, Italy., Mattioni Maturana F; Sports Medicine Department, University Hospital of Tübingen, Tübingen, Germany., Murias JM; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar. |
| Source: | Sports medicine (Auckland, N.Z.) [Sports Med] 2026 Jul; Vol. 56 (7), pp. 1833-1843. Date of Electronic Publication: 2026 Mar 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 8412297 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-2035 (Electronic) Linking ISSN: 01121642 NLM ISO Abbreviation: Sports Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1179-2035 |
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| DOI: | 10.1007/s40279-026-02403-w |
