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Precision Medicine Outpost

A medical big data database is a system that collects, integrates, stores, and analyzes a variety of medical-related data. These data may include medical images, medical records, test reports, physiological data, drug treatment records, and so on. Through the analysis of medical big data database, it can help medical related organizations and professionals to carry out medical research, diagnosis, treatment and prevention, improve the quality and efficiency of medical treatment, and promote the progress and innovation of medical technology.

 

Healthcare Big Data Database

  1. Store large amounts of medical data:
    A medical database can store a large amount of medical data, including medical records, examination reports, image data, etc. These data are crucial for medical research and clinical applications.

  2. To promote medical research:
    Medical data databases can provide effective data for medical research. Medical researchers can utilize the information in a medical data base to discover new disease risk factors, explore new treatments, and evaluate the effectiveness of existing treatments.

  3. Improvement of clinical work:
    Medical data databases can help doctors make better diagnosis and treatment decisions. Doctors can use the data in the database to predict the risk of a patient's disease and make personalized treatment plans.

  4. Enhance the quality of healthcare:
    The medical data database can be used to monitor the quality of medical care. Hospitals can evaluate the effectiveness of medical care based on the data in the medical data database, identify problems and improvement measures to enhance the overall quality of medical care.

Data is the foundation of AI development

Medical data databases and AI medical imaging are closely related. Medical data databases provide a large amount of training data needed for AI medical imaging, which can be used to train AI models to improve the accuracy and reliability of AI medical imaging. Medical data databases and AI medical imaging are mutually facilitating and complementary.

TCIT AI Medical Images

TCIT has established a medical image database, cooperated with famous hospitals at home and abroad to collect clinical medical video data, performed data cleaning, labeling, model training, etc., and provided hospitals and related medical service providers with APIs, SDKs, and other medical image recognition modules that are easy to integrate and interconnect.

It can be utilized in the development of clinical, teaching and research, management and other application software and the provision of related service models. We can also develop a variety of medical imaging modules (endoscopy, ultrasound, laboratory imaging, etc.), which can help improve the accuracy of disease diagnosis and treatment effects, and promote the advancement of medical technology.