Artificial Intelligence (AI)-Based Personalized Exercise Coaching for Patients With Breast Cancer

ConditionBreast Cancer
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age18-70
SponsorShanghai Jiao Tong University School of Medicine

About this trial

This prospective, single-center, randomized controlled trial aims to evaluate the effectiveness and safety of an artificial intelligence (AI)-based personalized exercise coaching system in female breast cancer survivors who have completed major cancer treatment and are clinically stable. A total of 100 eligible participants will be randomly assigned in a 1:1 ratio to either an AI-based exercise coaching group or a conventional exercise guidance group. Participants in the intervention group will receive personalized exercise recommendations generated by the AI exercise coaching system, with exercise data collected and used for dynamic adjustment of exercise guidance. Participants in the control group will receive conventional exercise recommendations provided by healthcare professionals. The intervention will last for 6 months. Exercise adherence will be evaluated as the primary outcome. Secondary outcomes will include quality of life, psychological status, physical function, exercise-related adverse events, and laboratory and metabolic parameters.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Provision of written and dated informed consent.

Female participants aged 18 to 70 years.

Pathologically confirmed breast malignancy.

Completion of major cancer treatment, including surgery, chemotherapy, and/or radiotherapy, with clinically stable disease.

Disqualifiers

Have not undergone breast cancer surgery.

Mental or psychological condition, as judged by the investigator, that would prevent adherence to the intervention or completion of follow-up.

Trial design

Design model

Parallel

Treatments tested in this trial

  • AI-Based Personalized Exercise Coaching

    Device

    Participants will receive individualized exercise recommendations generated by an AI-based exercise coaching system. The system provides personalized exercise guidance and uses exercise data collected to monitor exercise performance and dynamically adjust recommendations. The intervention will be delivered for 6 months.

  • Conventional Exercise Guidance

    Behavioral

    General exercise recommendations will be provided by healthcare professionals according to routine clinical practice.

Treatment groups

60 Participants
are divided into 2 treatment groups
Group A: The AI-Based Exercise Coaching GroupExperimental treatment 1 intervention
Group B: The Control GroupActive comparator 1 intervention

Trial outcomes

Primary outcomes

1

Exercise Adherence

Exercise adherence will be calculated as the ratio of the participant's actual exercise frequency to the recommended exercise frequency during the intervention period, expressed as a percentage. Exercise adherence will be compared between the AI-based exercise coaching group and the conventional exercise guidance group.

Time frame
6 months

Secondary outcomes

1

Change in Health-Related Quality of Life

Health-related quality of life will be assessed using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Scores will be calculated according to the EORTC scoring procedures, with domain scores transformed to a 0-100 scale. Higher scores on functional scales and global health status indicate better functioning or quality of life, whereas higher scores on symptom scales indicate greater symptom burden.

Time frame
Baseline, 3 months, and 6 months
2

Change in Anxiety Symptoms

Anxiety symptoms will be assessed using the anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A). The HADS-A score ranges from 0 to 21. Higher scores indicate more severe anxiety symptoms.

Time frame
Baseline, 3 months, and 6 months
3

Change in Depressive Symptoms

Depressive symptoms will be assessed using the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). The HADS-D score ranges from 0 to 21. Higher scores indicate more severe depressive symptoms.

Time frame
Baseline, 3 months, and 6 months
4

Change in Peak Oxygen Uptake

Peak oxygen uptake (VO₂peak) will be measured by cardiopulmonary exercise testing (CPET) on an electronically braked cycle ergometer, using a CORTEX MetaLyzer 3B-R3 metabolic cart, during a symptom-limited incremental exercise protocol. VO₂peak is recorded at the highest oxygen uptake achieved during the test. The unit of measurement is mL/kg/min.

Time frame
Baseline, 3 months, and 6 months

Other outcomes

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