Artificial Intelligence can be used in healthcare in several ways:
AI can learn features from a large volume of healthcare data, and then use the obtained insights to assist clinical practice in treatment design or risk assessment;
AI system can extract useful information from a large patient population to assist making real-time inferences for health risk alert and health outcome prediction;
AI can do repetitive jobs, such as analyzing tests, X-Rays, CT scans or data entry;
AI systems can help to reduce diagnostic and therapeutic errors that are inevitable in the human clinical practice;
AI can assist physicians by providing up-to-date medical information from journals, textbooks and clinical practices to inform proper patient care;
AI can manage medical records and analyze both performance of an individual institution and the whole healthcare system;
AI can help develop precision medicine and new drugs based on the faster processing of mutations and links to disease;
AI can provide digital consultations and health monitoring services — to the extent of being “digital nurses” or “health bots”.
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