Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges

被引:5
|
作者
Malhotra, Kashish [1 ]
Wong, Benjamin Ngie Xiong [2 ]
Lee, Susie [3 ]
Franco, Helena [4 ]
Singh, Carol [1 ]
Silva, Laura A. Cabrera [5 ]
Iraqi, Habab [6 ]
Sinha, Akatya [7 ]
Burger, Sule [8 ]
Breedt, Danyca Shade [9 ]
Goyal, Kashish [10 ]
Dagli, Mert Marcel [11 ]
Bawa, Ashvind [1 ]
机构
[1] Dayanand Med Coll & Hosp, Dept Surg, Ludhiana, Punjab, India
[2] Austin Hosp, Dept Surg, Melbourne, Vic, Australia
[3] Toowoomba Hosp, Dept Orthopaed, Toowoomba, Qld, Australia
[4] Bond Univ, Dept Surg, Gold Coast, Australia
[5] Univ El Bosque, Dept Surg, Bogota, Colombia
[6] Al Yarmouk Coll Med Sci, Dept Surg, Khartoum, Sudan
[7] MGM Mahatma Gandhi Miss Med Coll & Hosp, Dept Surg, Mumbai, Maharashtra, India
[8] Ngwelezana Hosp, Dept Surg, Kwa Zulu, South Africa
[9] King Edward VIII Hosp, Dept Surg, Durban, South Africa
[10] Dayanand Med Coll & Hosp, Dept Internal Med, Ludhiana, Punjab, India
[11] Univ Penn, Dept Neurosurg, Perelman Sch Med, Philadelphia, PA USA
关键词
low-and-middle-income countries; ai and robotics in healthcare; surgical equity; global health; global surgery; artificial intelligence; HEALTH;
D O I
10.7759/cureus.43192
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:8
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