Building a Traditional Chinese Medicine Clinical Diagnosis and Treatment Database

Fifth Affiliated Hospital, Sun Yat-Sen University

Status

Not yet enrolling

Conditions

Artificial Intelligence

Medicine, Chinese Traditional

Treatments

Other: Observational study, non intervention

Study type

Observational

Funder types

Other

Identifiers

NCT06525025

ZDWY.ZYZLK.009

Details and patient eligibility

About

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.

Full description

The technological principles of large language models align with the empirical medical principles of Traditional Chinese Medicine (TCM), and the rise of large model technology can greatly promote the progress of TCM. However, there is currently a lack of clinical diagnosis and treatment databases with TCM characteristics for training TCM artificial intelligence(AI) large models.

At present, a large-scale tongue image database has not yet been established for modeling common TCM tongue appearances, thereby ensuring the accuracy and consistency of TCM diagnosis and promoting the objective standardization of TCM diagnostic development.

Considering the feedback from the subjects in clinical work that the TCM constitution survey questionnaire has a large volume, takes a long time, and has certain subjective issues, we plan to carry out a large-scale clinical observational study to optimize the process of TCM constitution identification.

Traditional Chinese Medicine (TCM) doctor-patient dialogues and medical record writing are essential entities generated during the TCM diagnosis and treatment process. Assisting in consultation, medical record generation, and treatment plan recommendations based on doctor-patient dialogues have significant clinical and research value. Therefore, we plan to collect a large number of doctor-patient dialogues and outpatient medical records to construct a doctor-patient dialogue database, preparing in advance for optimizing interactive large-scale TCM models.

In summary, the research on constructing a TCM clinical diagnosis and treatment database has important clinical and scientific research value. This will help to improve the standardization and normalization of TCM diagnosis and treatment, and also support the modernization and internationalization of TCM. By applying big data analysis and artificial intelligence technology, it is possible to delve deeper into TCM diagnosis and treatment information, providing richer and more accurate data resources for clinical decision-making and scientific research exploration in TCM.

Enrollment

80,000 estimated patients

Sex

All

Ages

18 to 85 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

People who come to the hospital for physical examination and medical treatment；
Participants voluntarily participate in the study.

Exclusion criteria

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.