Medical image analysis: Computer vision and machine learning technology are used to automatically detect pathological changes and abnormal situations, saving doctors' workload.
Drug discovery: use artificial intelligence technology to predict the mechanism and side effects of drugs and shorten the research and development cycle of new drugs.
Personalized treatment: Use big data and machine learning technology to customize personalized treatment programs.
Auxiliary diagnosis: using natural language processing and knowledge mapping technology to help doctors make more accurate diagnosis.
Auxiliary nursing: using voice recognition and chat robot technology to help patients communicate with nurses and doctors.
These are just some common application scenarios. In fact, artificial intelligence has more possibilities in the medical field.