1. Medical imaging At present, more than 90% of medical data comes from medical imaging. Medical imaging data has become one of the “evidences” necessary for doctors to diagnose, and it is also an important basis for cancer diagnosis. Take lung cancer as an example: In China, a tertiary hospital receives an average of about […]
Several integration points between AI products and the medical industry Read More »
According to survey data from the Ministry of Health, nearly half of China’s residents do not seek medical treatment when they are sick. “Queue for three hours and see a doctor for three minutes”, I believe that many patients have experienced the dilemma of “three longs and one short” (long for registration, waiting, and taking
Waiting in line for three hours and seeing a doctor for three minutes, can AI help? Read More »
In 2016, the Central Committee of the Communist Party of China and the State Council issued the “Healthy China 2030” Planning Outline for the first time, which proposed that the scale of the medical service industry should reach 16 trillion yuan by 2030. The realization of this goal requires not only the expansion of “scale
Mike Barlow has this view in “Artificial Intelligence and Medicine”: Unlike traditional healthcare, which tends to be labor-intensive, emerging healthcare models are knowledge-driven and data-intensive. Many new types of healthcare are bringing us a new model that will rely on a new generation of user-friendly, real-time big data analysis and artificial intelligence and machine learning
Artificial Intelligence: How far is the distance from the laboratory to the hospital? Read More »
Video-assisted diagnosis mainly does two things: 1. Medical knowledge map construction; 2. Diagnosis based on disease. Today we will analyze how to use AI technology to identify and assist in the diagnosis of esophageal cancer. Esophageal cancer is one of the five major malignant tumors in the world, and my country is also a high-incidence
With the continuous in-depth development of artificial intelligence technology, professional medical artificial intelligence platforms have gradually emerged. It is recommended to choose a professional integrated platform to save the work of platform construction and debugging and focus more on model training and system application. At the same time, the developed artificial intelligence system also has