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A Review of the Role of Artificial Intelligence in Healthcare
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301994/ https://www.ncbi.nlm.nih.gov/pubmed/37373940 http://dx.doi.org/10.3390/jpm13060951 |
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author | Al Kuwaiti, Ahmed Nazer, Khalid Al-Reedy, Abdullah Al-Shehri, Shaher Al-Muhanna, Afnan Subbarayalu, Arun Vijay Al Muhanna, Dhoha Al-Muhanna, Fahad A. |
author_facet | Al Kuwaiti, Ahmed Nazer, Khalid Al-Reedy, Abdullah Al-Shehri, Shaher Al-Muhanna, Afnan Subbarayalu, Arun Vijay Al Muhanna, Dhoha Al-Muhanna, Fahad A. |
author_sort | Al Kuwaiti, Ahmed |
collection | PubMed |
description | Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other administrative applications. The impact of AI is observed in detecting clinical conditions in medical imaging and diagnostic services, controlling the outbreak of coronavirus disease 2019 (COVID-19) with early diagnosis, providing virtual patient care using AI-powered tools, managing electronic health records, augmenting patient engagement and compliance with the treatment plan, reducing the administrative workload of healthcare professionals (HCPs), discovering new drugs and vaccines, spotting medical prescription errors, extensive data storage and analysis, and technology-assisted rehabilitation. Nevertheless, this science pitch meets several technical, ethical, and social challenges, including privacy, safety, the right to decide and try, costs, information and consent, access, and efficacy, while integrating AI into healthcare. The governance of AI applications is crucial for patient safety and accountability and for raising HCPs’ belief in enhancing acceptance and boosting significant health consequences. Effective governance is a prerequisite to precisely address regulatory, ethical, and trust issues while advancing the acceptance and implementation of AI. Since COVID-19 hit the global health system, the concept of AI has created a revolution in healthcare, and such an uprising could be another step forward to meet future healthcare needs. |
format | Online Article Text |
id | pubmed-10301994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103019942023-06-29 A Review of the Role of Artificial Intelligence in Healthcare Al Kuwaiti, Ahmed Nazer, Khalid Al-Reedy, Abdullah Al-Shehri, Shaher Al-Muhanna, Afnan Subbarayalu, Arun Vijay Al Muhanna, Dhoha Al-Muhanna, Fahad A. J Pers Med Review Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other administrative applications. The impact of AI is observed in detecting clinical conditions in medical imaging and diagnostic services, controlling the outbreak of coronavirus disease 2019 (COVID-19) with early diagnosis, providing virtual patient care using AI-powered tools, managing electronic health records, augmenting patient engagement and compliance with the treatment plan, reducing the administrative workload of healthcare professionals (HCPs), discovering new drugs and vaccines, spotting medical prescription errors, extensive data storage and analysis, and technology-assisted rehabilitation. Nevertheless, this science pitch meets several technical, ethical, and social challenges, including privacy, safety, the right to decide and try, costs, information and consent, access, and efficacy, while integrating AI into healthcare. The governance of AI applications is crucial for patient safety and accountability and for raising HCPs’ belief in enhancing acceptance and boosting significant health consequences. Effective governance is a prerequisite to precisely address regulatory, ethical, and trust issues while advancing the acceptance and implementation of AI. Since COVID-19 hit the global health system, the concept of AI has created a revolution in healthcare, and such an uprising could be another step forward to meet future healthcare needs. MDPI 2023-06-05 /pmc/articles/PMC10301994/ /pubmed/37373940 http://dx.doi.org/10.3390/jpm13060951 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 Al Kuwaiti, Ahmed Nazer, Khalid Al-Reedy, Abdullah Al-Shehri, Shaher Al-Muhanna, Afnan Subbarayalu, Arun Vijay Al Muhanna, Dhoha Al-Muhanna, Fahad A. A Review of the Role of Artificial Intelligence in Healthcare |
title | A Review of the Role of Artificial Intelligence in Healthcare |
title_full | A Review of the Role of Artificial Intelligence in Healthcare |
title_fullStr | A Review of the Role of Artificial Intelligence in Healthcare |
title_full_unstemmed | A Review of the Role of Artificial Intelligence in Healthcare |
title_short | A Review of the Role of Artificial Intelligence in Healthcare |
title_sort | review of the role of artificial intelligence in healthcare |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301994/ https://www.ncbi.nlm.nih.gov/pubmed/37373940 http://dx.doi.org/10.3390/jpm13060951 |
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