Breast CancerNCT07791368
Developing and Testing the Efficacy of AI-Chatbot-Based
A study testing AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy in people with Breast Cancer, run by National Taiwan University Hospital at 1 site in Taiwan.
Trial summary
this study aims to develop the Calm-Mind-Recovery-Journey AI-Chatbot delivering BMS-MC therapy for breast cancer survivors and examine its feasibility, acceptability, safety, and preliminary effects of holistic well-being and depressive levels, and coping skills (mindfulness status, self-compassion, emotional… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Breast Cancer
- What is being tested?
- AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 68 participants
- Where
- 1 siteTaiwan
- Study dates
- 1 Aug 2027to 31 Jul 2032
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Diagnosis of breast cancer completing the active cancer treatments (surgery, chemotherapy, radiotherapy) Aged at least 20 Owned a smartphone (Android or iOS) with Line access Ability to communicate with the AI chatbot Willingness to participate in the research and interact with the AI-chatbot during the intervention.
Who cannot join
- Diagnosis of another type of cancer Current receipt of psychotherapy Another online psychosocial or mental health intervention The presence of cognitive impairment or severe mental health conditions
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Taiwan1 site
National Taiwan University
Taipei, Taipei, 10051
Fei-Hsiu Hsiao, PhD, +886918153569, hsiaofei@ntu.edu.tw
About this study
Official title: Developing and Testing the Efficacy of AI-Chatbot-Based Delivering Body-Mind- Spirit Integrated With Mindfulness Compassion Therapy in Improving Holistic Well-being and Depression for Breast Cancer Survivors: A Large-scale Multi-sites Study
this study aims to develop the Calm-Mind-Recovery-Journey AI-Chatbot delivering BMS-MC therapy for breast cancer survivors and examine its feasibility, acceptability, safety, and preliminary effects of holistic well-being and depressive levels, and coping skills (mindfulness status, self-compassion, emotional regulations), and breast cancer-specific QOL. The experiences of participants using AI-Chatbot will be explored.
Read the detailed description
For the first and the second years, Phase I using retrieval-augmented generation (RAG), developing a rule-based "CalmRecoveryJourney" AI-Chatbot step to step guided BMS-MC, feedback system, 24-hour emotional support with human-loop escalation. Phase II Pilot evaluation using a mixed-methods design including the quantitative (a randomized waitlist-controlled trial, RCT) and qualitative methods (in-depth interview) in the 68 breast cancer survivors who completed active cancer treatments and will be recruited from breast cancer organizations, and social media. For the third year, a large-scale single-arm intervention with three repeated measurements (baseline, post-intervention, and follow-up) will be conducted across four geographic regions in Taiwan (North, Central, South, and East). A total of 200 breast cancer survivors from four regions will be recruited. The outcome measures include self-report questionnaires (WHO Well-Being Index and Patient Health Questionnaire-9, PHQ-9, Emotion Regulation Questionnaire, Five Facet Mindfulness Questionnaire, self-compassion scale, EORTC QLQ-BR45, wearable EEG online data and survivors' learning process data from the AI-Chabot system including adherence and engagement with AI-Chatbot. Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3). With intentional-to-treat GEE analysis and thematic qualitative analysis will be conducted.
- Conditions
- Breast Cancer
- Being tested
- AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy
- Medical subject headings
- Breast Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapyBehavioural
CalmRecoveryJourney is a rule-based AI-Chatbot implemented through Line platform which guides survivors step by step complete 6-week Modules: BMS empowerment strategies, Structured Mindfulness skills and Compassion-based skills. The modules for each session contents will be developed based on our previous intervention studies on BMS-MC for breast cancer survivors, lung cancer survivors and their caregivers (Hsiao et al., 2012; Hsiao et al., 2016; Hsiao et al., 2022; Hsiao et al., 2025a; Hsiao et al.,2025b), and update literature review. BMS-MC consists of BMS empowerment strategies and mindfulness/compassion to enhance breast cancer survivors' holistic well-being and emotional regulation skills (mindfulness, self-compassion).
| Study group | Role | What they receive |
|---|---|---|
| experimental group | Experimental | AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy Receives: Behavioral: AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy |
| waitlist control group | Active comparator | waitlist control group Receives: Behavioral: AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy |
What is being measured
The primary outcome is the main question the study is designed to answer.
Patient Health Questionnaire-9, PHQ-9
Unabbreviated Scale Title: Patient Health Questionnaire-9
Minimum and Maximum Values: 0 to 27
Outcome Direction: Higher scores indicate a worse outcome (greater severity of depressive symptoms).
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
WHO Well-Being Index
Unabbreviated Scale Title: World Health Organization-Five Well-Being Index
Minimum and Maximum Values: 0 to 25 (often converted to a percentage score from 0 to 100 by multiplying the raw score by 4)
Outcome Direction: Higher scores indicate a better outcome (higher level of well-being).
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
Secondary outcomes (5)
Emotion Regulation Questionnaire
Unabbreviated Scale Title: Emotion Regulation Questionnaire
Minimum and Maximum Values:
Cognitive Reappraisal Subscale: 6 to 42
Expressive Suppression Subscale: 4 to 28
Outcome Direction: Higher scores indicate greater endorsement/use of that specific emotion regulation strategy. Whether higher scores mean a better or worse outcome depends on context, though Cognitive Reappraisal is generally considered adaptive (better outcome) and Expressive Suppression is often associated with maladaptive outcomes (worse outcome).
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
Five Facet Mindfulness Questionnaire
Unabbreviated Scale Title: Five Facet Mindfulness Questionnaire (15-item short form)
Minimum and Maximum Values: 15 to 75 total score (or 3 to 15 for each of the 5 individual subscales)
Outcome Direction: Higher scores indicate a better outcome (higher overall level of mindfulness).
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
self-compassion scale
Unabbreviated Scale Title: Self-Compassion Scale (or Self-Compassion Scale - Short Form)
Minimum and Maximum Values: 1 to 5 mean score (calculated by averaging item scores)
Outcome Direction: Higher scores indicate a better outcome (higher level of self-compassion).
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
EORTC QLQ-BR45
Unabbreviated Scale Title: European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Breast Cancer Module (45 items)
Minimum and Maximum Values: Raw scores are transformed linearly into a standardized score ranging from 0 to 100 for all subscales.
Outcome Direction:
Functional Scales / Single Items: Higher scores indicate a better outcome (a higher/better level of functioning).
Symptom Scales / Single Items: Higher scores indicate a worse outcome (a higher level of symptoms or problems).
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
wearable EEG power in alpha band
wearable EEG power in alpha band
Measured: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Aug 2026
- Study start1 Aug 2027 (estimated)
- Primary completion31 Jul 2032 (estimated)
- Study completion31 Jul 2032 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Breast CancerStudies of the same condition, open and under way.
- More trials run by National Taiwan University HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Care provider, Outcomes assessor
- Enrolment
- 68 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National Taiwan University Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, National Taiwan University Clinical Trial Center, National Taiwan University Hospital
- Investigators
- Fei-Hsiu FH Hsiao, PhD, Principal investigator, National Taiwan University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07791368
- Sponsor's protocol ID
- 202604050RINE
- Status last verified
- Aug 2026
- First submitted
- 12 Aug 2026
- Last updated
- 27 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Patient Privacy
Publications
Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020). Effectiveness and safety of using chatbots to improve mental health: Systematic review and meta-analysis. Journal of Medical Internet Research, 22(7), e16021. https://doi.org/10.2196/16021 Boie, S. D., Glastetter, E., Lux, M. P., Balzer, F., von Kalle, C., Lenz, C., & Müller, U. (2025). Evaluating a chatbot as a companion for patients with breast cancer: Collaborative pilot study. JMIR Cancer, 11, e68426. Brown, T., Cruickshank, S., & Noblet, M. (2021). Specialist breast care nurses for support of women with breast cancer. The Cochrane Database of Systematic Reviews, 2(2), CD005634. https://doi.org/10.1002/14651858.CD005634.pub3 Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. Dec 1983;24(4):385. Bornemann B, Singer T. Taking time to feel our body: steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. Psychophysiology. Mar 2017;54(3):469-482. Chakraborty, C., Pal, S., Bhattacharya, M., Dash, S., & Lee, S.-S. (2023). Overview of chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence, 6. Conţ, M., Ciupe, A., Orza, B., Cohuţ, I., & Niţu, G. (2022). Career counseling chatbot using Microsoft bot frameworks. In I. Kallel, H. Kammoun, & L. Hsairi (Eds.), 2022 IEEE Global Engineering Education Conference (EDUCON) (pp. 1387-1392). IEEE. Duan, W., Klibert, J., Schotanus-Dijkstra, M., Llorens, S., van den Heuvel, M., Mayer, C. H., Tomasulo, D., Liao, Y., & van Zyl, L. E. (2022). Editorial: Positive psychological interventions: How, when and why they work: Beyond WEIRD contexts. Frontiers in Psychology, 13, 1021539. https://doi.org/10.3389/fpsyg
Study at a glance
From the registry record, last updated by the sponsor on 27 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Developing and Testing the Efficacy of AI-Chatbot-Based Delivering Body-Mind- Spirit Integrated With Mindfulness Compassion Therapy in Improving Holistic Well-being and Depression for Breast Cancer Survivors: A Large-scale Multi-sites Study
- ClinicalTrials.gov ID
- NCT07791368
- Acronym / sponsor ID
- 202604050RINE
- Conditions
- Breast Cancer
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 68 participants (estimated)
- Lead sponsor
- National Taiwan University HospitalUniversity, hospital or other
- Study start
- 1 Aug 2027 (estimated)
- Primary completion
- 31 Jul 2032 (estimated)
- Study completion
- 31 Jul 2032 (estimated)
- First posted
- 27 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
this study aims to develop the Calm-Mind-Recovery-Journey AI-Chatbot delivering BMS-MC therapy for breast cancer survivors and examine its feasibility, acceptability, safety, and preliminary effects of holistic well-being and depressive levels, and coping skills (mindfulness status, self-compassion, emotional regulations), and breast cancer-specific QOL. The experiences of participants using AI-Chatbot will be explored.
Detailed description
For the first and the second years, Phase I using retrieval-augmented generation (RAG), developing a rule-based "CalmRecoveryJourney" AI-Chatbot step to step guided BMS-MC, feedback system, 24-hour emotional support with human-loop escalation. Phase II Pilot evaluation using a mixed-methods design including the quantitative (a randomized waitlist-controlled trial, RCT) and qualitative methods (in-depth interview) in the 68 breast cancer survivors who completed active cancer treatments and will be recruited from breast cancer organizations, and social media. For the third year, a large-scale single-arm intervention with three repeated measurements (baseline, post-intervention, and follow-up) will be conducted across four geographic regions in Taiwan (North, Central, South, and East). A total of 200 breast cancer survivors from four regions will be recruited. The outcome measures include self-report questionnaires (WHO Well-Being Index and Patient Health Questionnaire-9, PHQ-9, Emotion Regulation Questionnaire, Five Facet Mindfulness Questionnaire, self-compassion scale, EORTC QLQ-BR45, wearable EEG online data and survivors' learning process data from the AI-Chabot system including adherence and engagement with AI-Chatbot. Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3). With intentional-to-treat GEE analysis and thematic qualitative analysis will be conducted.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (care provider, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| experimental group | Experimental | Behavioral: AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapyAIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy |
| waitlist control group | Active comparator | Behavioral: AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapywaitlist control group |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Diagnosis of breast cancer completing the active cancer treatments (surgery, chemotherapy, radiotherapy) Aged at least 20 Owned a smartphone (Android or iOS) with Line access Ability to communicate with the AI chatbot Willingness to participate in the research and interact with the AI-chatbot during the intervention.
Key exclusion criteria (1 listed)
- Diagnosis of another type of cancer Current receipt of psychotherapy Another online psychosocial or mental health intervention The presence of cognitive impairment or severe mental health conditions
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapyCalmRecoveryJourney is a rule-based AI-Chatbot implemented through Line platform which guides survivors step by step complete 6-week Modules: BMS empowerment strategies, Structured Mindfulness skills and Compassion-based skills. The modules for each session contents will be developed based on our previous intervention studies on BMS-MC for breast cancer survivors, lung cancer survivors and their caregivers (Hsiao et al., 2012; Hsiao et al., 2016; Hsiao et al., 2022; Hsiao et al., 2025a; Hsiao et al.,2025b), and update literature review. BMS-MC consists of BMS empowerment strategies and mindfulness/compassion to enhance breast cancer survivors' holistic well-being and emotional regulation skills (mindfulness, self-compassion). | Behavioural | experimental group, waitlist control group |
Primary outcome
Patient Health Questionnaire-9, PHQ-9
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
Unabbreviated Scale Title: Patient Health Questionnaire-9 Minimum and Maximum Values: 0 to 27 Outcome Direction: Higher scores indicate a worse outcome (greater severity of depressive symptoms).
WHO Well-Being Index
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
Unabbreviated Scale Title: World Health Organization-Five Well-Being Index Minimum and Maximum Values: 0 to 25 (often converted to a percentage score from 0 to 100 by multiplying the raw score by 4) Outcome Direction: Higher scores indicate a better outcome (higher level of well-being).
5 secondary outcomes
Emotion Regulation Questionnaire
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
Five Facet Mindfulness Questionnaire
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
self-compassion scale
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3).
EORTC QLQ-BR45
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
wearable EEG power in alpha band
Time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Aug 2026.
- BackgroundAbd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020). Effectiveness and safety of using chatbots to improve mental health: Systematic review and meta-analysis. Journal of Medical Internet Research, 22(7), e16021. https://doi.org/10.2196/16021 Boie, S. D., Glastetter, E., Lux, M. P., Balzer, F., von Kalle, C., Lenz, C., & Müller, U. (2025). Evaluating a chatbot as a companion for patients with breast cancer: Collaborative pilot study. JMIR Cancer, 11, e68426. Brown, T., Cruickshank, S., & Noblet, M. (2021). Specialist breast care nurses for support of women with breast cancer. The Cochrane Database of Systematic Reviews, 2(2), CD005634. https://doi.org/10.1002/14651858.CD005634.pub3 Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. Dec 1983;24(4):385. Bornemann B, Singer T. Taking time to feel our body: steady increases in heartbeat perception accuracy and decreases in alexithymia over 9 months of contemplative mental training. Psychophysiology. Mar 2017;54(3):469-482. Chakraborty, C., Pal, S., Bhattacharya, M., Dash, S., & Lee, S.-S. (2023). Overview of chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence, 6. Conţ, M., Ciupe, A., Orza, B., Cohuţ, I., & Niţu, G. (2022). Career counseling chatbot using Microsoft bot frameworks. In I. Kallel, H. Kammoun, & L. Hsairi (Eds.), 2022 IEEE Global Engineering Education Conference (EDUCON) (pp. 1387-1392). IEEE. Duan, W., Klibert, J., Schotanus-Dijkstra, M., Llorens, S., van den Heuvel, M., Mayer, C. H., Tomasulo, D., Liao, Y., & van Zyl, L. E. (2022). Editorial: Positive psychological interventions: How, when and why they work: Beyond WEIRD contexts. Frontiers in Psychology, 13, 1021539. https://doi.org/10.3389/fpsyg
- Individual participant dataSharing planned: No. Patient Privacy
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Fei-Hsiu FH Hsiao, PhD principal investigator
National Taiwan University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AIAI-Chatbot CalmMindRecoveryJourney delivering BMS-MC therapy in people with Breast Cancer, run by National Taiwan University Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 27 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Fei-Hsiu FH Hsiao, PhD (+886918153569, hsiaofei@ntu.edu.tw), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Patient Health Questionnaire-9, PHQ-9 (time frame: Measurement time-points are at baseline (T1), the 6 week (the end of AI-Chatbot guide) (T2), the 12 week (self-practices period) (T3)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07791368, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Aug 2026.