Artificial Intelligence (AI)-Based Personalized Exercise Coaching for Patients With Breast Cancer
Effect of an Artificial Intelligence-Based Personalized Exercise Coaching System on Exercise Adherence and Quality of Life in Patients With Breast Cancer: A Randomized Controlled Trial
1 other identifier
interventional
60
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable breast-cancer
Started Jul 2026
Shorter than P25 for not_applicable breast-cancer
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 22, 2026
CompletedFirst Submitted
Initial submission to the registry
September 12, 2026
CompletedFirst Posted
Study publicly available on registry
September 28, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 22, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
March 22, 2027
September 28, 2026
September 1, 2026
8 months
September 12, 2026
September 21, 2026
Conditions
Keywords
Outcome Measures
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.
6 months
Secondary Outcomes (10)
Change in Health-Related Quality of Life
Baseline, 3 months, and 6 months
Change in Anxiety Symptoms
Baseline, 3 months, and 6 months
Change in Depressive Symptoms
Baseline, 3 months, and 6 months
Change in Peak Oxygen Uptake
Baseline, 3 months, and 6 months
Change in Muscle Strength
Baseline, 3 months, and 6 months
- +5 more secondary outcomes
Study Arms (2)
The AI-Based Exercise Coaching Group
EXPERIMENTALParticipants assigned to this group will use an AI-based exercise coaching system for 6 months. The system will generate individualized exercise recommendations based on participant characteristics and health-related information. Exercise data will be collected and uploaded to the system, allowing exercise recommendations to be dynamically adjusted according to participants' exercise performance and status. Participants will also receive regular follow-up during the intervention period.
The Control Group
ACTIVE COMPARATORParticipants assigned to the control group will receive conventional exercise guidance from healthcare professionals based on routine clinical practice and professional experience, including general recommendations such as approximately 150 minutes of moderate-intensity aerobic exercise per week. Participants will receive regular follow-up during the 6-month study period.
Interventions
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.
General exercise recommendations will be provided by healthcare professionals according to routine clinical practice.
Eligibility Criteria
You may qualify if:
- 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.
- No severe cardiopulmonary dysfunction or contraindications to exercise.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ruijin Hospital
Shanghai, Shanghai Municipality, 200025, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 12, 2026
First Posted
September 28, 2026
Study Start
July 22, 2026
Primary Completion (Estimated)
March 22, 2027
Study Completion (Estimated)
March 22, 2027
Last Updated
September 28, 2026
Record last verified: 2026-09
Data Sharing
- IPD Sharing
- Will not share
De-identified individual participant data collected in this study will not be shared with external researchers, as the data contain sensitive health information from breast cancer survivors and are intended solely for the primary research group's analyses.