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cMIND AI Web Tool Usability Study (Hong Kong)

24. Juli 2026 aktualisiert von: Hong Kong Metropolitan University

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.

Studienübersicht

Status

Noch keine Rekrutierung

Bedingungen

Intervention / Behandlung

Detaillierte Beschreibung

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).

Studientyp

Beobachtungs

Einschreibung (Geschätzt)

20

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Ja

Probenahmeverfahren

Nicht-Wahrscheinlichkeitsprobe

Studienpopulation

Community-dwelling older adults aged 60 years and above in Hong Kong who regularly consume Cantonese-style meals.

Beschreibung

Inclusion Criteria:

  • 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)

Exclusion Criteria:

  • 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

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

Kohorten und Interventionen

Gruppe / Kohorte
Intervention / Behandlung
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.
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.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Usability and Acceptability of the Web-Based AI Tool
Zeitfenster: 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.
Assessed at the end of the 2-week testing period

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Feasibility of Meal Photo-Taking
Zeitfenster: Over the 2-week testing period
Proportion of participants able to complete at least 10 days of meal photos over the two-week period.
Over the 2-week testing period
Qualitative User Feedback
Zeitfenster: At the end of the 2-week testing period
Participants' experiences, challenges, and suggestions regarding the web tool, collected through semi-structured interviews.
At the end of the 2-week testing period

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Sponsor

Ermittler

  • Hauptermittler: Chow Ka-Man, Ph.D., Hong Kong Metropolitan University

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

1. September 2027

Primärer Abschluss (Geschätzt)

1. Januar 2028

Studienabschluss (Geschätzt)

1. Februar 2028

Studienanmeldedaten

Zuerst eingereicht

24. Juli 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

24. Juli 2026

Zuerst gepostet (Tatsächlich)

29. Juli 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

29. Juli 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

24. Juli 2026

Zuletzt verifiziert

1. Juli 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Andere Studien-ID-Nummern

  • FRSF/2026/08

Plan für individuelle Teilnehmerdaten (IPD)

Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?

JA

Beschreibung des IPD-Plans

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.

IPD-Sharing-Zeitrahmen

Start Date: 6 months after publication of the main study results End Date: 5 years after study completion (January 2033)

IPD-Sharing-Zugriffskriterien

IPD and supporting documents (study protocol, informed consent form, and data dictionary) will be made available to qualified researchers upon reasonable request for the purpose of academic research or meta-analysis. Requests should be directed to the Principal Investigator (Dr. Ariel Chow Ka Man) via email.

A formal data sharing agreement will be required. The agreement will specify the purpose of data use, data security requirements, and prohibition of re-identification of participants. Requests will be reviewed by the Principal Investigator and co-investigators to ensure scientific merit and compliance with ethics requirements. Data will be provided in de-identified format.

Art der unterstützenden IPD-Freigabeinformationen

  • STUDIENPROTOKOLL
  • ICF

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

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