Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations

Background: Artificial intelligence (AI), which combines computer science with extensive datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost all fields of medicine and surgery. Aim: This review focuses on the applications of AI in healthcare settings in develo...

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Main Authors: Varisha Zuhair, Areesha Babar, Rabbiya Ali, Malik Olatunde Oduoye, Zainab Noor, Kitumaini Chris, Inibehe Ime Okon, Latif Ur Rehman
Format: Article
Language:English
Published: SAGE Publishing 2024-04-01
Series:Journal of Primary Care & Community Health
Online Access:https://doi.org/10.1177/21501319241245847
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author Varisha Zuhair
Areesha Babar
Rabbiya Ali
Malik Olatunde Oduoye
Zainab Noor
Kitumaini Chris
Inibehe Ime Okon
Latif Ur Rehman
author_facet Varisha Zuhair
Areesha Babar
Rabbiya Ali
Malik Olatunde Oduoye
Zainab Noor
Kitumaini Chris
Inibehe Ime Okon
Latif Ur Rehman
author_sort Varisha Zuhair
collection DOAJ
description Background: Artificial intelligence (AI), which combines computer science with extensive datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost all fields of medicine and surgery. Aim: This review focuses on the applications of AI in healthcare settings in developing countries, designed to underscore its significance by comprehensively outlining the advancements made thus far, the shortcomings encountered in AI applications, the present status of AI integration, persistent challenges, and innovative strategies to surmount them. Methodology: Articles from PubMed, Google Scholar, and Cochrane were searched from 2000 to 2023 with keywords including AI and healthcare, focusing on multiple medical specialties. Results: The increasing role of AI in diagnosis, prognosis prediction, and patient management, as well as hospital management and community healthcare, has made the overall healthcare system more efficient, especially in the high patient load setups and resource-limited areas of developing countries where patient care is often compromised. However, challenges, including low adoption rates and the absence of standardized guidelines, high installation and maintenance costs of equipment, poor transportation and connectivvity issues hinder AI’s full use in healthcare. Conclusion: Despite these challenges, AI holds a promising future in healthcare. Adequate knowledge and expertise of healthcare professionals for the use of AI technology in healthcare is imperative in developing nations.
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spelling doaj.art-3635d7b6363f4846aa556964407b7bbd2024-04-12T12:04:06ZengSAGE PublishingJournal of Primary Care & Community Health2150-13272024-04-011510.1177/21501319241245847Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing NationsVarisha Zuhair0Areesha Babar1Rabbiya Ali2Malik Olatunde Oduoye3Zainab Noor4Kitumaini Chris5Inibehe Ime Okon6Latif Ur Rehman7Jinnah Sindh Medical University, Karachi, Sindh, PakistanJinnah Sindh Medical University, Karachi, Sindh, PakistanJinnah Sindh Medical University, Karachi, Sindh, PakistanThe Medical Research Circle, (MedReC), Gisenyi, Goma, Democratic Republic of the CongoInstitute of Dentistry CMH Lahore Medical College, Lahore, Punjab, PakistanUniversité Libre des Pays des Grands-Lacs Goma, Noth-Kivu, Democratic Republic of the CongoNiMSA SCOPH, Uyo, Akwa-Ibom State, NigeriaIqra National University, Peshawar, PakistanBackground: Artificial intelligence (AI), which combines computer science with extensive datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost all fields of medicine and surgery. Aim: This review focuses on the applications of AI in healthcare settings in developing countries, designed to underscore its significance by comprehensively outlining the advancements made thus far, the shortcomings encountered in AI applications, the present status of AI integration, persistent challenges, and innovative strategies to surmount them. Methodology: Articles from PubMed, Google Scholar, and Cochrane were searched from 2000 to 2023 with keywords including AI and healthcare, focusing on multiple medical specialties. Results: The increasing role of AI in diagnosis, prognosis prediction, and patient management, as well as hospital management and community healthcare, has made the overall healthcare system more efficient, especially in the high patient load setups and resource-limited areas of developing countries where patient care is often compromised. However, challenges, including low adoption rates and the absence of standardized guidelines, high installation and maintenance costs of equipment, poor transportation and connectivvity issues hinder AI’s full use in healthcare. Conclusion: Despite these challenges, AI holds a promising future in healthcare. Adequate knowledge and expertise of healthcare professionals for the use of AI technology in healthcare is imperative in developing nations.https://doi.org/10.1177/21501319241245847
spellingShingle Varisha Zuhair
Areesha Babar
Rabbiya Ali
Malik Olatunde Oduoye
Zainab Noor
Kitumaini Chris
Inibehe Ime Okon
Latif Ur Rehman
Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
Journal of Primary Care & Community Health
title Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
title_full Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
title_fullStr Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
title_full_unstemmed Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
title_short Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
title_sort exploring the impact of artificial intelligence on global health and enhancing healthcare in developing nations
url https://doi.org/10.1177/21501319241245847
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