Building a Traditional Chinese Medicine Clinical Diagnosis and Treatment Database

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-85
SponsorFifth Affiliated Hospital, Sun Yat-Sen University

About this trial

Collecting Traditional Chinese Medicine (TCM) clinical diagnosis and treatment data, including doctor-patient dialogues, tongue diagnosis, facial diagnosis, and TCM constitution information, to construct databases for tongue diagnosis, TCM constitution, and doctor-patient dialogues. Based on artificial intelligence technology, engage in research related to the standardization and intelligentization of TCM.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

People who come to the hospital for physical examination and medical treatment;

Participants voluntarily participate in the study.

Disqualifiers

Subjects with difficulty in tongue extension, communication, etc. who cannot cooperate with data collection;

The researchers determined that there were other factors that may have forced the subjects to terminate the study.

Trial population

There are no specific restrictions on the disease, gender, or health status of the enrolled population.

Trial design

Design model

Other

Time perspective

Prospective

Treatments tested in this trial

  • Observational study, non intervention

    Other intervention

    Observational study, non intervention

Treatment groups

80,000 Participants
are divided into 3 treatment groups
Group A: Traditional Chinese Medicine Tongue Image Group1 intervention
Group B: Traditional Chinese Medicine Constitution Data Group1 intervention
Group C: Traditional Chinese Medicine Doctor Patient Dialogue Data Group1 intervention

Trial outcomes

Primary outcomes

1

Development of a tongue image-based machine learning tool

1. It is anticipated to enroll 50,000 samples to establish a Traditional Chinese Medicine (TCM) tongue appearance database. 2. The tongue images will undergo quality selection and preprocessing. 3. The tongue images will be manually annotated, with 40% allocated to the training group and 60% to the testing group. 4. For the training group: A TCM tongue appearance model will be constructed based on the manually annotated tongue images. 5. For the testing group: The TCM tongue appearance model will be used to interpret the tongue images. 6. Analyze the consistency between the tongue appearance interpretations by the model built from the training group and the readings by TCM physicians for the testing group's tongue images.

Time frame
20 months

Secondary outcomes

1

TCM Constitution Multimodal Model

1. It is projected to include 20,000 samples to construct a Traditional Chinese Medicine (TCM) constitution database. 2. Of these, 15,000 samples will complete the TCM constitution survey questionnaire and have their tongue and facial diagnosis data collected. 3. Based on the data from step 2, a multimodal TCM constitution assessment model will be constructed. 4. An additional 5,000 samples will be tested, first by completing the multimodal TCM constitution assessment model, and then the TCM constitution survey questionnaire. 5. Analyze the consistency between the readings of the TCM constitution assessment model and the results from the TCM constitution survey questionnaire generation, and treatment plan recommendations, prepare in advance for optimizing interactive large-scale TCM models.

Time frame
20 months

Other outcomes

1

Traditional Chinese Medicine (TCM) Doctor-Patient Dialogue Database

1. It is anticipated to include 10,000 samples to construct a Traditional Chinese Medicine (TCM) doctor-patient dialogue database. 2. Optimize the TCM large model, which mainly includes the following aspects: a Q\&A system, assistance in medical record generation, and recommendation of diagnosis and treatment plans.

Time frame
20 months

Locations

This trial has no locations.

Sponsors and contacts

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