Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/33697
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dc.contributor.authorMalhotra, Kashish-
dc.contributor.authorWong, Benjamin Ngie Xiong-
dc.contributor.authorLee, Susie-
dc.contributor.authorFranco, Helena-
dc.contributor.authorSingh, Carol-
dc.contributor.authorCabrera Silva, Laura A-
dc.contributor.authorIraqi, Habab-
dc.contributor.authorSinha, Akatya-
dc.contributor.authorBurger, Sule-
dc.contributor.authorBreedt, Danyca Shadé-
dc.contributor.authorGoyal, Kashish-
dc.contributor.authorDagli, Mert Marcel-
dc.contributor.authorBawa, Ashvind-
dc.date2023-
dc.date.accessioned2023-09-13T04:43:26Z-
dc.date.available2023-09-13T04:43:26Z-
dc.date.issued2023-08-
dc.identifier.citationCureus 2023-08; 15(8)en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/33697-
dc.description.abstractGlobal surgery broadly refers to a rapidly expanding multidisciplinary field concerned with providing better and equitable surgical care across international health systems. Global surgery initiatives primarily focus on capacity building, advocacy, education, research, and policy development in low- and middle-income countries (LMICs). The inadequate surgical, anesthetic, and obstetric care currently contributes to 18 million preventable deaths each year. Hence, there is a growing interest in the rapid growth of artificial intelligence (AI) that provides a distinctive opportunity to enhance surgical services in LMICs. AI modalities have been used for personalizing surgical education, automating administrative tasks, and developing realistic and cost-effective simulation-training programs with provisions for people with special needs. Furthermore, AI may assist with providing insights for governance, infrastructure development, and monitoring/predicting stock take or logistics failure that can help in strengthening global surgery pillars. Numerous AI-assisted telemedicine-based platforms have allowed healthcare professionals to virtually assist in complex surgeries that may help to improve surgical accessibility across LMICs. Challenges in implementing AI technology include the misrepresentation of minority populations in the datasets leading to discriminatory bias. Human hesitancy, employment uncertainty, automation bias, and role of confounding factors need to be further studied for equitable utilization of AI. With a focused and evidence-based approach, AI could help several LMICs overcome bureaucratic inefficiency and develop more efficient surgical systems.en_US
dc.language.isoeng-
dc.subjectai and robotics in healthcareen_US
dc.subjectartificial intelligenceen_US
dc.subjectglobal healthen_US
dc.subjectglobal surgeryen_US
dc.subjectlow- and-middle-income countriesen_US
dc.subjectsurgical equityen_US
dc.titleRole of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleCureusen_US
dc.identifier.affiliationDepartment of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.en_US
dc.identifier.affiliationSurgeryen_US
dc.identifier.affiliationDepartment of Orthopaedics, Toowoomba Hospital, Queensland, AUS.en_US
dc.identifier.affiliationDepartment of Surgery, Bond University, Queensland, AUS.en_US
dc.identifier.affiliationDepartment of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.en_US
dc.identifier.affiliationDepartment of Surgery, Universidad El Bosque, Bogotá, COL.en_US
dc.identifier.affiliationDepartment of Surgery, Al-Yarmouk College of Medical Sciences, Khartoum, SDN.en_US
dc.identifier.affiliationDepartment of Surgery, MGM (Mahatma Gandhi Mission's) Medical College and Hospital, Mumbai, IND.en_US
dc.identifier.affiliationDepartment of Surgery, Ngwelezana Hospital, KwaZulu-Natal, ZAF.en_US
dc.identifier.affiliationDepartment of Surgery, King Edward VIII Hospital, Durban, ZAF.en_US
dc.identifier.affiliationDepartment of Internal Medicine, Dayanand Medical College and Hospital, Ludhiana, IND.en_US
dc.identifier.affiliationDepartment of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.en_US
dc.identifier.affiliationDepartment of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.en_US
dc.identifier.doi10.7759/cureus.43192en_US
dc.type.contentTexten_US
dc.identifier.pubmedid37692604-
dc.description.volume15-
dc.description.issue8-
dc.description.startpagee43192-
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
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