I. Disease diagnosis
Intelligent diagnosis and treatment is the application of artificial intelligence technology in disease diagnosis and treatment. Computers can help doctors count medical records and physical examination reports, analyze and mine patients' medical data with big data, and automatically identify patients' clinical variables and indicators.
The computer simulates the doctor's thinking and diagnostic reasoning by "learning" relevant professional knowledge, thus giving a reliable diagnosis and treatment plan. Intelligent diagnosis and treatment is the most important and core application scenario of artificial intelligence in the medical field.
Second, watch movies.
In the traditional medical scene, it takes a long time and high cost to train excellent medical imaging doctors. In addition, when reading films manually, there is too much subjectivity and insufficient information utilization, and misjudgment is easy to occur in the judgment process.
According to research statistics, more than 90% of medical data comes from medical images, but image diagnosis relies too much on people's subjective consciousness and is prone to misjudgment. AI can help doctors locate the focus area and reduce the problems of missed diagnosis and misdiagnosis by learning a large number of medical images.
Three. Specimen classification
At present, the diagnostic procedure is visual examination by doctors, and then biopsy to confirm any suspicious pathology. This kind of manual inspection depends on people's subjective initiative, so the error rate is high. At present, artificial intelligence can be applied to the classification of some diseases, such as the real-time skin disease classification system established by Clara AGX in NVIDIA.