Examples of implementations and the future of AI in medical diagnostics

AI is revolutionizing medical diagnostics around the world, innovating in a variety of contexts, from leading US hospitals to facilities in developing countries. Below we present examples of AI implementations in medical diagnostics from different regions, taking into account the effectiveness and results of these solutions and forecasts for the development of this technology. Regarding the future of artificial intelligence in medical diagnostics, the article considered potential innovations such as the development of deep learning algorithms and integration with 5G technologies and the Internet. Attention is paid to the possibilities of further personalization of healthcare and to the challenges related to the need to adapt legal regulations and data management. It also indicates the directions of future research that may contribute to the further development of AI in medical diagnostics and the improvement of the quality of healthcare not only in Poland, but around the world.

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Publication Details

Journal
Przeglad Epidemiologiczny
Published
2024-10-25
DOI
https://doi.org/10.32394/pe/195240
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

Examples of implementations and the future of AI in medical diagnostics

Jan Barański
2 citations
Przeglad Epidemiologiczny
Artificial Intelligence in Healthcare and Education
0.24
article

Examples of implementations and the future of AI in medical diagnostics

Jan Barański
article en
2 citations

Abstract

AI is revolutionizing medical diagnostics around the world, innovating in a variety of contexts, from leading US hospitals to facilities in developing countries. Below we present examples of AI implementations in medical diagnostics from different regions, taking into account the effectiveness and results of these solutions and forecasts for the development of this technology. Regarding the future of artificial intelligence in medical diagnostics, the article considered potential innovations such as the development of deep learning algorithms and integration with 5G technologies and the Internet. Attention is paid to the possibilities of further personalization of healthcare and to the challenges related to the need to adapt legal regulations and data management. It also indicates the directions of future research that may contribute to the further development of AI in medical diagnostics and the improvement of the quality of healthcare not only in Poland, but around the world.

Przeglad EpidemiologicznyVol. 78(3)
Jan Kochanowski University (PL)
Partnerships for the goals
Openalex Percentile: Top 40%
Artificial Intelligence in Healthcare and Education
0.24
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Examples of implementations and the future of AI in medical diagnostics — Jan Barański · Przeglad Epidemiologiczny (2024) | TGRS Research Map | TGRS