Meridian AI Medics

Over 300 major categories of diseases
Over 4,000 Syndrome Types
Tens of Thousands of Prescriptions

Algorithm Engine:Bayesian Network + Machine Learning/Deep Learning
TCM AI Diagnosis and Treatment PaaS Cloud Service Platform
This platform allows for codeless development of specialized TCM AI Pattern Identification and Treatment service modules, enabling efficient establishment of specialized TCM AI diagnostic and treatment cloud service platforms. It aims to create distinctive TCM AI cloud inheritance studios that feature renowned TCM specialists and local TCM practices
AI Pattern Identification Neural Network Example: Common Cold
Unique Advantages
System Platform Scenario:
Establishing an Online and Offline Service Closed-loop
Case: TCM AI Assists in Hong Kong's Fight Against the COVID-19 Pandemic
In February 2022, the Omicron variant of the COVID-19 pandemic emerged in Hong Kong
We were invited to develop and deploy a Traditional Chinese Medicine AI diagnosis and treatment system for COVID-19 as well as a prevention and control system for the Hong Kong Clinical Research Centre for Chinese Medicine and the leading Chinese medicine institution, Hong Kong Baptist University. This initiative has supported Hong Kong's medical clinics and makeshift hospitals in providing COVID-19 TCM diagnostic and treatment services.

Deployed and utilized in clinics, outpatient departments, hospitals, and the Kai Tak Temporary Hospital in Hong Kong, empowering doctors to provide effective COVID-19 TCM diagnostic and treatment services, resulting in significant outcomes.
Collaborated with the Chinese medicine expert team at Hong Kong Baptist University
Within a week, the development, launch, and operation of the Hong Kong Traditional Chinese Medicine AI diagnostic and treatment system were completed. It provided diagnostic and treatment prescriptions covering various conditions including mild, moderate, common, elderly, severe, and constitution-deficiency types, along with modified prescriptions for children, asymptomatic infections, prevention, recovery, and follow-up. The system included over 20 syndrome patterns, 30 primary formulas and modified formulas, and nearly a hundred granulated Chinese herbal medicines and patent medicines. It also connected to a patient self-management system on the doctor's end, enabling online consultations, self-monitoring and assessment, selecting suitable TCM treatments, and providing recovery and prevention plans for home-based care.
The deployment of the AI-based TCM diagnosis, treatment, and prevention system for COVID-19 has achieved significant results
On April 3rd, Professor Bian Zhaoxiang, Vice-President of Hong Kong Baptist University, presented the deployment and application achievements of the AI-based Traditional Chinese Medicine diagnosis, treatment, and prevention system for COVID-19 to the head of the central support team for combating the pandemic in Hong Kong, Academician Tong Xiaolin, and other experts.

The AI-based Traditional Chinese Medicine diagnosis, treatment, and prevention system for COVID-19 provides capabilities in TCM diagnosis and treatment, precise data analysis, and decision support. It has significant implications for clinical care, establishing comprehensive medical data, clinical research, and particularly addressing the global medical challenge of studying and treating post-acute sequelae of COVID-19 in the millions of individuals affected worldwide.
Case: Renowned Physician Cloud Inheritance Studio——Kong’s TCM
Kong’s TCM AI Pattern Identification and Treatment
AI-driven Pattern Identification and Treatment System for Febrile Diseases in TCM
Chinese Medicine Grand Master：Kong Bohua
Establishing an AI System Model for the Diagnostic Principles and Methods of Respected TCM Practitioners, and Initiating a Systematic Inheritance Project for Renowned TCM Practitioners.
lBorn in 1885, a Chinese medical scholar, the 74th generation descendant of Confucius, and one of the "Four Great Physicians of Beijing" along with Wang Fengchun, Xiao Longyou, and Shi Jinmo.

He learned from his family's medical heritage and initially served as a medical officer at the Beijing Wai Cheng Hospital. In 1929, he was elected as the interim chairman of the National Medical Association, leading a delegation to Nanjing to persuade the Nationalist government to rescind the order to ban Traditional Chinese Medicine.

He co-founded the Beiping National Medical College (now known as Beijing University of Chinese Medicine) with Xiao Longyou and served as the dean.

After the founding of the People's Republic of China, he served as an advisor to the Ministry of Health, Deputy Director of the Academic Exchange Committee of the Chinese Medical Association for Traditional Chinese and Western Medicine, and a member of the Second National Committee of the Chinese People's Political Consultative Conference (CPPCC).

He passed away in 1955, and Premier Zhou Enlai served as the director of the funeral committee.

Academic Propositions: Emphasized seeking the underlying cause of diseases, placed significant emphasis on the differentiation between dampness and heat in clinical practice, and gained renown for his adept treatment of febrile diseases. He was highly respected in the field of medicine. His works include.