An interventional study of AI-Based Health Interventions in Breast Neoplasms, sponsored by The Fourth Affiliated Hospital of Zhejiang University School of Medicine. Not yet recruiting. Open to female participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-11-13.
Sponsored by The Fourth Affiliated Hospital of Zhejiang University School of Medicine · Not applicable, Interventional, and Supportive care
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The objective of this clinical trial is to determine whether the AI-HEALS artificial intelligence-based mobile health intervention, grounded in symptom management theory, can improve health outcomes for adult women who have undergone surgery for Stage I-III breast cancer and are receiving adjuvant therapy. The primary research questions it aims to address are:
Can the AI-HEALS intervention improve the quality of life for patients who have undergone breast cancer surgery? Can the AI-HEALS intervention improve patients' levels of anxiety and depression, self-efficacy, self-health management abilities, and e-health literacy?
Researchers will compare patients receiving the AI-HEALS intervention with those receiving standard of care to determine the effect of the AI-HEALS intervention on relevant health outcomes for patients who have undergone breast cancer surgery.
Participants will:
14,832 studies on the registry are indexed under Breast Neoplasms; 3,318 are open to participants now.
This study's planned enrollment of 76 is close to the median of 72 across 10,900 interventional studies indexed under Breast Neoplasms.
Browse Breast Neoplasms studies →The Fourth Affiliated Hospital of Zhejiang University School of Medicine is the lead sponsor of 96 studies on the registry; 82 are open to participants now.
Counted across the registry records on this site, refreshed daily.
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Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
The diagnosis was confirmed by looking at a sample under a microscope: tissue from a biopsy or surgery (histology), or cells from a fluid or needle sample (cytology).
Your pathology report is the document that shows this.
Neoadjuvant treatment is given before the main treatment (usually surgery), often to shrink a tumour. Adjuvant treatment is given after it, to lower the chance of the cancer coming back.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Histologically or cytologically confirmed
The diagnosis was confirmed by looking at a sample under a microscope: tissue from a biopsy or surgery (histology), or cells from a fluid or needle sample (cytology).
Your pathology report is the document that shows this.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Adjuvant and neoadjuvant
Neoadjuvant treatment is given before the main treatment (usually surgery), often to shrink a tumour. Adjuvant treatment is given after it, to lower the chance of the cancer coming back.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
In addition to standard care, the intervention group received a 6-month AI-HEALS WeChat platform intervention based on symptom management theory, which implemented a closed-loop management process of "symptom assessment-personalized intervention-behavioral monitoring-feedback and adjustment" focused on symptom experience, symptom management behaviors, and environmental factors. Platform functionality was configured prior to the intervention; personal health records were established for patients within 24 hours of admission; and training on platform use was provided to both patients and caregivers.
Behavioral: AI-Based Health Interventions
The control group received standard postoperative care for breast cancer over a 6-month period: basic care for incisions, drainage tubes, and pain management was provided during the first 1-7 days of hospitalization, along with health education delivered verbally and via printed brochures, basic psychological counseling, and discharge instructions; At 1, 3, and 6 months post-surgery, general health information was sent via WeChat, followed by 10-15-minute telephone follow-ups to assess recovery and medication adherence, answer questions, and remind patients of follow-up appointments; no personalized interventions were provided.
This intervention integrates Symptom Management Theory (SMT) with WeChat-based artificial intelligence mobile health technology to establish a closed-loop management process comprising "symptom assessment-personalized intervention-behavioral monitoring-feedback and adjustment." This study employs a phased intervention strategy comprising the acute inpatient phase, the subacute home-based phase, and the long-term maintenance phase. By integrating natural language processing and reinforcement learning algorithms, the intervention content is dynamically adjusted based on patients' real-time symptom feedback and behavioral responses. Additionally, the involvement of family caregivers is incorporated throughout the entire intervention process to achieve dynamic, individualized, and continuous symptom management, distinguishing it from conventional nursing care and mobile health interventions not empowered by AI
EORTC-QLQ-C30
Time frame: From enrollment through 6 months after the intervention
EORTC-QLQ-BR23
Time frame: From enrollment through 6 months after the intervention
Self-Rating Anxiety Scale, SAS
Time frame: From enrollment through 6 months after the intervention
Self-Rating Depression Scale, SDS
Time frame: From enrollment through 6 months after the intervention
General Self-Efficacy Scale, GSES
Time frame: From enrollment through 6 months after the intervention
Self-Health Management Ability Scale, SHMAS
Time frame: From enrollment through 6 months after the intervention
eHealth Literacy Scale, eHEALS
Time frame: From enrollment through 6 months after the intervention
No study locations are listed for this record.
Plan to share: Undecided
No publications or documents are linked to this record.
Start is estimated for Dec 2026; primary completion for Nov 2028, 23 months later.
Of 2,662 non-industry interventional studies with no phase under Breast Neoplasms, half reached primary completion within 33 months of starting (the median), counting those still running; a quarter within 16 and three quarters within 66. This study's planned 23 months is below that.
Counting every sponsor, half of 2,772 studies reached it within 33 months; a quarter within 15 and three quarters within 66.
How these figures are worked out, and which studies are left out of them.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
This study is not yet recruiting, as verified in Nov 2026. You cannot join it, but the record below documents what was studied.
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The Fourth Affiliated Hospital of Zhejiang University School of Medicine