AI-based Skeleton Recognition System for Rehabilitation Exercise in Breast Cancer Survivors: A Randomized Controlled Trial

Condition(s) studied

Investigational drug(s) / intervention(s)

Motor rehabilitation based on ai visual recognition: Patients in the intervention group will engage in a home-based exercise program in addition to standard rehabilitation guidance. Initially, patients will be provided with exercise materials developed by the intervention team, one-on-one guidance via the AI rehabilitation platform, and a detailed explanation of the exercise intervention program (including its components, foundational knowledge, and benefits).The aerobic warm-up routine includes activities such as marching in place, full-body stretches, jumping jacks, side steps with arm circles, and squats with alternating punches. For the elderly, the warm-up routine is similar but also incorporates chest expansion exercises, abduction exercises, overhead reaches, lateral movements, hip extension exercises, calf raises, and additional full-body stretches.Functional training should be done 3 to 5 times per week at an intensity of RPE 3 to 4, with each session lasting 15 to 30 minutes.

Study summary

This study aims to develop and evaluate an artificial intelligence (AI)-based skeletal recognition system designed to support real-time, interactive rehabilitation exercise (RE programs. The goal is to mitigate musculoskeletal symptoms associated with endocrine therapy in breast cancer survivors.Endocrine therapy remains a cornerstone in the treatment of hormone receptor-positive breast cancer, typically extending over 5 to 10 years. While the therapeutic benefits of endocrine therapy are well established, agents such as aromatase inhibitors frequently induce musculoskeletal symptoms (MS), including joint pain, stiffness (particularly morning stiffness), carpal tunnel syndrome, tenosynovitis, myalgia, and muscle weakness. These symptoms, which may be continuous or intermittent, can affect both central (spine, hips, shoulders) and peripheral joints (elbows, wrists, knees, feet), severely compromising patients' quality of life (QoL). Although physical exercise has been demonstrated to alleviate these symptoms, adherence to adequate exercise regimens remains suboptimal among patients. Furthermore, there is no consensus on the optimal type, duration, or intensity of exercise interventions, and standardized protocols are lacking. Recognizing exercise as a long-term behavior, we are developing a home-based, AI-assisted rehabilitation program tailored to the specific needs of patients undergoing endocrine therapy.

Eligibility

Primary outcome measure(s)

• Grip strength — From enrollment to the end of treatment at 12 weeks
• M-SACRAH — From enrollment to the end of treatment at 12 weeks
  score for assessment and quantification of chronic rheumatic affections of the hands
• WOMAC — From enrollment to the end of treatment at 12 weeks
  Western Ontario and McMaster Osteoarthritis Index
• ROM — From enrollment to the end of treatment at 12 weeks
  range of motion

Trial sites (1)

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