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Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare

Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more accurate and efficient healthcare delivery...

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Detalles Bibliográficos
Autores principales: Poalelungi, Diana Gina, Musat, Carmina Liana, Fulga, Ana, Neagu, Marius, Neagu, Anca Iulia, Piraianu, Alin Ionut, Fulga, Iuliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455458/
https://www.ncbi.nlm.nih.gov/pubmed/37623465
http://dx.doi.org/10.3390/jpm13081214
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author Poalelungi, Diana Gina
Musat, Carmina Liana
Fulga, Ana
Neagu, Marius
Neagu, Anca Iulia
Piraianu, Alin Ionut
Fulga, Iuliu
author_facet Poalelungi, Diana Gina
Musat, Carmina Liana
Fulga, Ana
Neagu, Marius
Neagu, Anca Iulia
Piraianu, Alin Ionut
Fulga, Iuliu
author_sort Poalelungi, Diana Gina
collection PubMed
description Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more accurate and efficient healthcare delivery. The widespread implementation of AI in healthcare has the role to revolutionize patients’ outcomes and transform the way healthcare is practiced, leading to improved accessibility, affordability, and quality of care. This article explores the diverse applications and reviews the current state of AI adoption in healthcare. It concludes by emphasizing the need for collaboration between physicians and technology experts to harness the full potential of AI.
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spelling pubmed-104554582023-08-26 Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare Poalelungi, Diana Gina Musat, Carmina Liana Fulga, Ana Neagu, Marius Neagu, Anca Iulia Piraianu, Alin Ionut Fulga, Iuliu J Pers Med Review Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more accurate and efficient healthcare delivery. The widespread implementation of AI in healthcare has the role to revolutionize patients’ outcomes and transform the way healthcare is practiced, leading to improved accessibility, affordability, and quality of care. This article explores the diverse applications and reviews the current state of AI adoption in healthcare. It concludes by emphasizing the need for collaboration between physicians and technology experts to harness the full potential of AI. MDPI 2023-07-31 /pmc/articles/PMC10455458/ /pubmed/37623465 http://dx.doi.org/10.3390/jpm13081214 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Poalelungi, Diana Gina
Musat, Carmina Liana
Fulga, Ana
Neagu, Marius
Neagu, Anca Iulia
Piraianu, Alin Ionut
Fulga, Iuliu
Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
title Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
title_full Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
title_fullStr Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
title_full_unstemmed Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
title_short Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare
title_sort advancing patient care: how artificial intelligence is transforming healthcare
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455458/
https://www.ncbi.nlm.nih.gov/pubmed/37623465
http://dx.doi.org/10.3390/jpm13081214
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