Artificial intelligence in healthcare

From Simple English Wikipedia, the free encyclopedia

Artificial intelligence in healthcare refers to the integration of advanced computer algorithms and machine learning techniques into the field of healthcare. This involves using AI technologies to analyze medical data, make predictions, diagnose diseases, recommend treatment plans, and improve overall patient care. The goal is to leverage AI's computational power to enhance medical practices, research, and decision-making, ultimately leading to more accurate diagnoses, personalized treatments, and improved patient outcomes.[1][2][3][4]

References[change | change source]

  1. ↑ Lohr, Steve (2023-06-26). "A.I. May Someday Work Medical Miracles. For Now, It Helps Do Paperwork". The New York Times. ISSN 0362-4331. Retrieved 2023-08-25.
  2. ↑ "'Coupling traditional medicine with conventional medicine will be tomorrow's modern medicine'". The Week. Retrieved 2023-08-25.
  3. ↑ "Patients, Doctors Fear AI in Medicine -- Should They?". www.medpagetoday.com. 2023-07-05. Retrieved 2023-08-25.
  4. ↑ "Artificial intelligence was supposed to transform health care. It hasn't". POLITICO. 2022-08-15. Retrieved 2023-08-25.
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