Mild Cognitive Impairment (MCI)NCT07735013
cMIND AI Web Tool Usability Study (Hong Kong)
An observational study of Mild Cognitive Impairment (MCI) and Healthy Aging, run by Hong Kong Metropolitan University.
Trial summary
This study is testing a new web-based tool that uses artificial intelligence (AI) to help older adults in Hong Kong check how healthy their Cantonese-style meals are for brain health. Read more about this study
- Who is it for?
- Ages 60 years and olderHealthy volunteers can take part
- Conditions the study is for
- Mild Cognitive Impairment (MCI), Healthy Aging, Nutrition
- What is being tested?
- Web-Based AI Dietary Assessment System
- How many people
- 20 participants
- Where
- No sites listed yet
- Study dates
- Sep 2027to Feb 2028
- Phase
- Observational
- 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 60 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals.
Who may be able to join
- Aged 60 years or above
- Community-dwelling in Hong Kong
- Able to provide informed consent
- Basic ability to use a smartphone or tablet (with assistance if needed)
- Consuming Cantonese-style meals as the primary dietary pattern for ≥ 5 days per week for the past 3 months or longer)
Who cannot join
- Severe visual or motor impairment that prevents taking meal photos even with assistance
- Self-reported diagnosis of dementia or Alzheimer's disease, or other psychiatric/medical conditions that would interfere with participation or valid outcome assessment
- Current participation in other interventional nutrition or technology studies
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Development and Validation of a Web-Based AI System for Assessing the Cantonese-Style Mediterranean Diet (cMIND) Index
This study is testing a new web-based tool that uses artificial intelligence (AI) to help older adults in Hong Kong check how healthy their Cantonese-style meals are for brain health. The tool is based on the cMIND diet, a Chinese-adapted version of a known healthy eating pattern that may support memory and thinking skills.
Participants will use the web app to take photos of their usual meals for at least 10 days over two weeks. The AI will automatically identify ingredients and give a score showing how well the meal follows the cMIND diet. The study will also ask participants to complete a short questionnaire and a brief interview to find out how easy and useful the tool is for older adults.
The purpose of this small study is to see whether the AI tool is user-friendly and acceptable for older people. Results will help improve the tool for future use to support healthy ageing and brain health.
Read the detailed description
Mild cognitive impairment (MCI) is common among older adults and can progress to dementia. Diet plays an important role in brain health. The cMIND diet is a culturally adapted Chinese version of the Mediterranean-DASH diet, designed to support cognitive function. However, many older adults find it difficult to track their adherence to this diet using traditional methods.
This study is developing and testing a simple web-based AI tool to help older adults in Hong Kong monitor their Cantonese-style meals. Users take photos of their meals (such as dim sum, stir-fries, or congee) using the web app. The AI automatically identifies ingredients in mixed dishes and calculates a cMIND adherence score (0-12), giving immediate personalised feedback on how well the meal supports brain health.
The main part of the study is a small usability and acceptability test. We will recruit 20 community-dwelling older adults aged 60 years and above who regularly eat Cantonese-style meals. Participants should not have a self-reported diagnosis of dementia or Alzheimer's disease, or other psychiatric/medical conditions that would interfere with participation or valid outcome assessment.
Eligible participants will receive a 20-minute training session on how to use the web tool. They will then use the app to photograph their usual meals for at least 10 days over a two-week period, without changing their normal eating habits.
At the end of the two weeks, participants will complete a short online questionnaire about the ease of use and usefulness of the tool. They will also take part in one short individual interview (about 20 minutes, audio-recorded) to share their experiences and suggestions.
This low-risk study aims to understand whether older adults find the AI tool easy and acceptable to use in daily life. The results will help improve the prototype for future larger studies. All data will be kept strictly confidential, and ethics approval has been obtained from the Hong Kong Metropolitan University Research Ethics Committee (Reference: HE-FRSE/2026/08).
- Conditions
- Mild Cognitive Impairment (MCI), Healthy Aging, Nutrition
- Being tested
- Web-Based AI Dietary Assessment System
- Keywords
- cMIND diet, Cantonese Mediterranean diet, AI dietary assessment, web-based AI tool, meal photo analysis, Cantonese mixed dishes, usability testing, older adults, congitive health, mild cognitive impairment, healthy ageing, gerontechnology, nutrition monitoring, dietary adherence, AI food recognition, Cantonese cuisine, brain health diet, feasibility study, acceptability study, Hong Kong older adults
- Medical subject headings
- Cognitive Dysfunction
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Web-Based AI Dietary Assessment SystemOther
A web-based AI software prototype designed specifically for older adults in Hong Kong. Users upload photographs of their usual Cantonese-style mixed meals (e.g., dim sum assortments, stir-fries with overlapping ingredients, or congee with toppings). The AI system automatically recognises multiple ingredients and sauces, estimates nutritional content using local food composition data, and calculates a cMIND adherence score (range 0-12). Immediate personalised feedback on dietary quality for brain health is provided. The tool is intended for dietary self-monitoring and does not involve any drug, physical device, or medical treatment.
| Study group | Role | What they receive |
|---|---|---|
| cMIND Usability Group | Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals. This single-group feasibility and usability study evaluates the ease of use and acceptability of a web-based AI tool that analyses meal photos and calculates a cMIND (Cantonese-style Mediterranean Diet) adherence score to support cognitive health monitoring. Receives: Other: Web-Based AI Dietary Assessment System |
What is being measured
The primary outcome is the main question the study is designed to answer.
Usability and Acceptability of the Web-Based AI Tool
Participants' perceived ease of use and acceptability of the AI web tool for photographing Cantonese meals and receiving cMIND dietary feedback.
Measured: Assessed at the end of the 2-week testing period
Secondary outcomes (2)
Feasibility of Meal Photo-Taking
Proportion of participants able to complete at least 10 days of meal photos over the two-week period.
Measured: Over the 2-week testing period
Qualitative User Feedback
Participants' experiences, challenges, and suggestions regarding the web tool, collected through semi-structured interviews.
Measured: At the end of the 2-week testing period
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 Jul 2026
- Study startSep 2027 (estimated)
- Primary completionJan 2028 (estimated)
- Study completionFeb 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Mild Cognitive Impairment (MCI)Studies of the same condition, open and under way.
- 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
- Observational
- Observational model
- Case only
- Time perspective
- Prospective
- Enrolment
- 20 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Hong Kong Metropolitan University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Chow Ka-Man, Ph.D., Principal investigator, Hong Kong Metropolitan University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07735013
- Sponsor's protocol ID
- FRSF/2026/08
- Status last verified
- Jul 2026
- First submitted
- 24 Jul 2026
- Last updated
- 29 Jul 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: De-identified individual participant data (including meal photos, cMIND scores, and usability questionnaire responses) will be made available upon reasonable request after publication of the main results. A data dictionary will be provided.
Study at a glance
From the registry record, last updated by the sponsor on 29 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development and Validation of a Web-Based AI System for Assessing the Cantonese-Style Mediterranean Diet (cMIND) Index
- ClinicalTrials.gov ID
- NCT07735013
- Acronym / sponsor ID
- FRSF/2026/08
- Conditions
- Mild Cognitive Impairment (MCI), Healthy Aging, Nutrition
- Keywords
- cMIND diet, Cantonese Mediterranean diet, AI dietary assessment, web-based AI tool, meal photo analysis, Cantonese mixed dishes, usability testing, older adults
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 20 participants (estimated)
- Lead sponsor
- Hong Kong Metropolitan UniversityUniversity, hospital or other
- Study start
- Sep 2027 (estimated)
- Primary completion
- Jan 2028 (estimated)
- Study completion
- Feb 2028 (estimated)
- First posted
- 29 Jul 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 is testing a new web-based tool that uses artificial intelligence (AI) to help older adults in Hong Kong check how healthy their Cantonese-style meals are for brain health. The tool is based on the cMIND diet, a Chinese-adapted version of a known healthy eating pattern that may support memory and thinking skills.
Participants will use the web app to take photos of their usual meals for at least 10 days over two weeks. The AI will automatically identify ingredients and give a score showing how well the meal follows the cMIND diet. The study will also ask participants to complete a short questionnaire and a brief interview to find out how easy and useful the tool is for older adults.
The purpose of this small study is to see whether the AI tool is user-friendly and acceptable for older people. Results will help improve the tool for future use to support healthy ageing and brain health.
Detailed description
Mild cognitive impairment (MCI) is common among older adults and can progress to dementia. Diet plays an important role in brain health. The cMIND diet is a culturally adapted Chinese version of the Mediterranean-DASH diet, designed to support cognitive function. However, many older adults find it difficult to track their adherence to this diet using traditional methods.
This study is developing and testing a simple web-based AI tool to help older adults in Hong Kong monitor their Cantonese-style meals. Users take photos of their meals (such as dim sum, stir-fries, or congee) using the web app. The AI automatically identifies ingredients in mixed dishes and calculates a cMIND adherence score (0-12), giving immediate personalised feedback on how well the meal supports brain health.
The main part of the study is a small usability and acceptability test. We will recruit 20 community-dwelling older adults aged 60 years and above who regularly eat Cantonese-style meals. Participants should not have a self-reported diagnosis of dementia or Alzheimer's disease, or other psychiatric/medical conditions that would interfere with participation or valid outcome assessment.
Eligible participants will receive a 20-minute training session on how to use the web tool. They will then use the app to photograph their usual meals for at least 10 days over a two-week period, without changing their normal eating habits.
At the end of the two weeks, participants will complete a short online questionnaire about the ease of use and usefulness of the tool. They will also take part in one short individual interview (about 20 minutes, audio-recorded) to share their experiences and suggestions.
This low-risk study aims to understand whether older adults find the AI tool easy and acceptable to use in daily life. The results will help improve the prototype for future larger studies. All data will be kept strictly confidential, and ethics approval has been obtained from the Hong Kong Metropolitan University Research Ethics Committee (Reference: HE-FRSE/2026/08).
Study design
- Observational model
- Case only
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| cMIND Usability Group | – | Other: Web-Based AI Dietary Assessment SystemCommunity-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals. This single-group feasibility and usability study evaluates the ease of use and acceptability of a web-based AI tool that analyses meal photos and calculates a cMIND (Cantonese-style Mediterranean Diet) adherence score to support cognitive health monitoring. |
Who may qualify
- Ages
- 60 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals.
Key inclusion criteria (5 listed)
- Aged 60 years or above
- Community-dwelling in Hong Kong
- Able to provide informed consent
- Basic ability to use a smartphone or tablet (with assistance if needed)
- Consuming Cantonese-style meals as the primary dietary pattern for ≥ 5 days per week for the past 3 months or longer)
Key exclusion criteria (3 listed)
- Severe visual or motor impairment that prevents taking meal photos even with assistance
- Self-reported diagnosis of dementia or Alzheimer's disease, or other psychiatric/medical conditions that would interfere with participation or valid outcome assessment
- Current participation in other interventional nutrition or technology studies
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 |
|---|---|---|
| Web-Based AI Dietary Assessment SystemA web-based AI software prototype designed specifically for older adults in Hong Kong. Users upload photographs of their usual Cantonese-style mixed meals (e.g., dim sum assortments, stir-fries with overlapping ingredients, or congee with toppings). The AI system automatically recognises multiple ingredients and sauces, estimates nutritional content using local food composition data, and calculates a cMIND adherence score (range 0-12). Immediate personalised feedback on dietary quality for brain health is provided. The tool is intended for dietary self-monitoring and does not involve any drug, physical device, or medical treatment. | Other | cMIND Usability Group |
Primary outcome
Usability and Acceptability of the Web-Based AI Tool
Time frame: Assessed at the end of the 2-week testing period
Participants' perceived ease of use and acceptability of the AI web tool for photographing Cantonese meals and receiving cMIND dietary feedback.
2 secondary outcomes
Feasibility of Meal Photo-Taking
Time frame: Over the 2-week testing period
Qualitative User Feedback
Time frame: At the end of the 2-week testing period
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 29 Jul 2026.
- Individual participant dataSharing planned: Yes. De-identified individual participant data (including meal photos, cMIND scores, and usability questionnaire responses) will be made available upon reasonable request after publication of the main results. A data dictionary will be provided.
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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.
Chow Ka-Man, Ph.D. principal investigator
Hong Kong Metropolitan University
Questions about this trial
What is this clinical trial studying?
An observational study of Mild Cognitive Impairment (MCI) and Healthy Aging, run by Hong Kong Metropolitan University.
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 5 inclusion and 3 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 29 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
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 Chow Ka-Man, Ph.D. (852+ 39708721, akmchow@hkmu.edu.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Usability and Acceptability of the Web-Based AI Tool (time frame: Assessed at the end of the 2-week testing period). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 29 Jul 2026.