How Do Machines Learn? Artificial Intelligence as a New Era in Medicine
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 improvin...
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doaj-6f6a123274a44ba081080e158d9c03232021-01-08T00:01:05ZengMDPI AGJournal of Personalized Medicine2075-44262021-01-0111323210.3390/jpm11010032How Do Machines Learn? Artificial Intelligence as a New Era in MedicineOliwia Koteluk0Adrian Wartecki1Sylwia Mazurek2Iga Kołodziejczak3Andrzej Mackiewicz4Faculty of Medical Sciences, Chair of Medical Biotechnology, Poznan University of Medical Sciences, 61-701 Poznan, PolandFaculty of Medical Sciences, Chair of Medical Biotechnology, Poznan University of Medical Sciences, 61-701 Poznan, PolandDepartment of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, 61-701 Poznan, PolandPostgraduate School of Molecular Medicine, Medical University of Warsaw, 02-091 Warsaw, PolandDepartment of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, 61-701 Poznan, PolandWith 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.https://www.mdpi.com/2075-4426/11/1/32machine learningartificial intelligencebioinformaticsmedicinealgorithmdecision making |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Oliwia Koteluk Adrian Wartecki Sylwia Mazurek Iga Kołodziejczak Andrzej Mackiewicz |
spellingShingle |
Oliwia Koteluk Adrian Wartecki Sylwia Mazurek Iga Kołodziejczak Andrzej Mackiewicz How Do Machines Learn? Artificial Intelligence as a New Era in Medicine Journal of Personalized Medicine machine learning artificial intelligence bioinformatics medicine algorithm decision making |
author_facet |
Oliwia Koteluk Adrian Wartecki Sylwia Mazurek Iga Kołodziejczak Andrzej Mackiewicz |
author_sort |
Oliwia Koteluk |
title |
How Do Machines Learn? Artificial Intelligence as a New Era in Medicine |
title_short |
How Do Machines Learn? Artificial Intelligence as a New Era in Medicine |
title_full |
How Do Machines Learn? Artificial Intelligence as a New Era in Medicine |
title_fullStr |
How Do Machines Learn? Artificial Intelligence as a New Era in Medicine |
title_full_unstemmed |
How Do Machines Learn? Artificial Intelligence as a New Era in Medicine |
title_sort |
how do machines learn? artificial intelligence as a new era in medicine |
publisher |
MDPI AG |
series |
Journal of Personalized Medicine |
issn |
2075-4426 |
publishDate |
2021-01-01 |
description |
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. |
topic |
machine learning artificial intelligence bioinformatics medicine algorithm decision making |
url |
https://www.mdpi.com/2075-4426/11/1/32 |
work_keys_str_mv |
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