Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/33697
Title: Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges.
Austin Authors: Malhotra, Kashish;Wong, Benjamin Ngie Xiong;Lee, Susie;Franco, Helena;Singh, Carol;Cabrera Silva, Laura A;Iraqi, Habab;Sinha, Akatya;Burger, Sule;Breedt, Danyca Shadé;Goyal, Kashish;Dagli, Mert Marcel;Bawa, Ashvind
Affiliation: Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
Surgery
Department of Orthopaedics, Toowoomba Hospital, Queensland, AUS.
Department of Surgery, Bond University, Queensland, AUS.
Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
Department of Surgery, Universidad El Bosque, Bogotá, COL.
Department of Surgery, Al-Yarmouk College of Medical Sciences, Khartoum, SDN.
Department of Surgery, MGM (Mahatma Gandhi Mission's) Medical College and Hospital, Mumbai, IND.
Department of Surgery, Ngwelezana Hospital, KwaZulu-Natal, ZAF.
Department of Surgery, King Edward VIII Hospital, Durban, ZAF.
Department of Internal Medicine, Dayanand Medical College and Hospital, Ludhiana, IND.
Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
Issue Date: Aug-2023
Date: 2023
Publication information: Cureus 2023-08; 15(8)
Abstract: Global 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.
URI: https://ahro.austin.org.au/austinjspui/handle/1/33697
DOI: 10.7759/cureus.43192
ORCID: 
Journal: Cureus
Start page: e43192
PubMed URL: 37692604
Type: Journal Article
Subjects: ai and robotics in healthcare
artificial intelligence
global health
global surgery
low- and-middle-income countries
surgical equity
Appears in Collections:Journal articles

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