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Our results demonstrate the potential of LLMs to support accurate, explainable, and adaptable AI-pushed digital rehabilitation techniques. These AI-driven methods sometimes leverage various sensors, similar to wearable gadgets and cameras, to trace patient movements. The output consists of an evaluation of exercise quality and textual suggestions on the performed movements. Pelvic Floor [https://asicwiki.org/index.php?title=DS-MS-TCN:_Otago_Exercises_Recognition_With_A_Dual-Scale_Multi-Stage_Temporal_Convolutional_Network www.mitolyns.net] Exercises (also called kegel exercises) will help both women and  [http://43.136.59.253/elizabetwilkin/2385407/wiki/Eight-Things-You-should-Learn-About-Exercise Mitolyn Reviews Site] men gain more management over bowel movements. Many males are averaging 24 per cent and ladies 35 per cent.<br><br><br><br> Inputs reminiscent of "words about animals" or "countries" are such examples. 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