How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

Koteluk, Oliwia and Wartecki, Adrian and Mazurek, Sylwia and Kołodziejczak, Iga and Mackiewicz, Andrzej (2021) How Do Machines Learn? Artificial Intelligence as a New Era in Medicine. Journal of Personalized Medicine, 11 (1). p. 32. ISSN 2075-4426

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Abstract

With an increased number of medical data generated every day, there is a strong need for reliable, automated evaluation tools. With high hopes and expectations, machine learning has the potential to revolutionize many fields of medicine, helping to make faster and more correct decisions and improving current standards of treatment. Today, machines can analyze, learn, communicate, and understand processed data and are used in health care increasingly. This review explains different models and the general process of machine learning and training the algorithms. Furthermore, it summarizes the most useful machine learning applications and tools in different branches of medicine and health care (radiology, pathology, pharmacology, infectious diseases, personalized decision making, and many others). The review also addresses the futuristic prospects and threats of applying artificial intelligence as an advanced, automated medicine tool.

Item Type: Article
Subjects: Institute Archives > Medical Science
Depositing User: Managing Editor
Date Deposited: 22 Nov 2022 05:30
Last Modified: 24 Feb 2024 03:57
URI: http://eprint.subtopublish.com/id/eprint/388

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