Abstract
Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and application system for the simulation, extension, and expansion of human intelligence. With the assistance of new AI technology, the traditional medical environment has changed a lot. For example, a patient’s diagnosis based on radiological, pathological, endoscopic, ultrasonographic, and biochemical examinations has been effectively promoted with a higher accuracy and a lower human workload. The medical treatments during the perioperative period, including the preoperative preparation, surgical period, and postoperative recovery period, have been significantly enhanced with better surgical effects. In addition, AI technology has also played a crucial role in medical drug production, medical management, and medical education, taking them into a new direction. The purpose of this review is to introduce the application of AI in medicine and to provide an outlook of future trends.
Highlights
[Abstract] Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and application system for the simulation, extension, and expansion of human intelligence
With the development of AI in recent years, especially the appearance of deep learning, there has been a surge of interest regarding this new technical discipline and the promotion of a series of artificial intelligent systems in practical applications, like the Internist-1 system[3], MYCIN system[4], CASNET system[5], and some databases and record systems[6]
This paper aims to review the latest applications of Artificial Intelligence plus (AI plus) medicine in recent years
Summary
When a clinician diagnoses a patient with a certain illness/condition with the assistance of AI, the time required for a diagnosis can be greatly reduced and the diagnostic efficiency can be significantly improved. By analyzing the clinical data from radiology (like X-ray, CT, and MRI), pathological, endoscopic, ultrasonographic, and biochemical examinations for related human body indicators, AI can output results quickly and change the ineffective traditional medical model, which is unable to give timely and accurate conclusions, especially for complicated diagnoses. As AI can solve problems in such a short time, doctors can make a more deliberate and reasonable treatment plan according to the patient’s condition
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