Open Access Communication

Artificial intelligence in healthcare

by Jakub Dominik 1,*
1
Na Homolce Hospital, Roentgenova 37, 150 00 Praha 5, Czechia
*
Author to whom correspondence should be addressed.
IJCMR  2025 3(2):51; https://doi.org/10.61466/ijcmr3020001
Received: 29 December 2024 / Accepted: 15 February 2025 / Published Online: 15 February 2025

Abstract

In recent years, enhanced artificial intelligence algorithms and more access to training data have enabled artificial intelligence to augment or supplant certain functions of physicians. Nonetheless, the interest of diverse stakeholders in the application of artificial intelligence in medicine has not resulted in extensive acceptance. Numerous experts have indicated that a primary cause for the limited adoption is the lack of openness surrounding certain artificial intelligence algorithms, particularly black-box algorithms. Clinical medicine, particularly evidence-based practice, depends on transparency in decision-making. If there is no medically explicable artificial intelligence and the physician cannot adequately elucidate the decision-making process, the patient's trust in them will diminish. To resolve the transparency concern associated with specific artificial intelligence models, explainable artificial intelligence has arisen.


Copyright: © 2025 by Dominik. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Dominik, J. Artificial intelligence in healthcare. International Journal of Clinical Medical Research, 2025, 3, 51. doi:10.61466/ijcmr3020001
AMA Style
Dominik J. Artificial intelligence in healthcare. International Journal of Clinical Medical Research; 2025, 3(2):51. doi:10.61466/ijcmr3020001
Chicago/Turabian Style
Dominik, Jakub 2025. "Artificial intelligence in healthcare" International Journal of Clinical Medical Research 3, no.2:51. doi:10.61466/ijcmr3020001

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