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.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Challenges and opportunities for artificial intelligence in surgery
    Andreatta, Pamela
    Smith, Christopher S.
    Graybill, John Christopher
    Bowyer, Mark
    Elster, Eric
    [J]. JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, 2022, 19 (02): : 219 - 227
  • [3] The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
    Aung, Yuri Y. M.
    Wong, David C. S.
    Ting, Daniel S. W.
    [J]. BRITISH MEDICAL BULLETIN, 2021, 139 (01) : 4 - 15
  • [4] Opportunities and Challenges of Artificial Intelligence in Banking: Systematic Literature Review
    Ghandour, Ahmad
    [J]. TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2021, 10 (04): : 1581 - 1587
  • [5] Artificial intelligence and digital health in global eye health: opportunities and challenges
    Tan, Ting Fang
    Thirunavukarasu, Arun J.
    Jin, Liyuan
    Lim, Joshua
    Poh, Stanley
    Teo, Zhen Ling
    Ang, Marcus
    Chan, R. V. Paul
    Ong, Jasmine
    Turner, Angus
    Karlstrom, Jonas
    Wong, Tien Yin
    Stern, Jude
    Ting, Daniel Shu-Wei
    [J]. LANCET GLOBAL HEALTH, 2023, 11 (09): : 1432 - 1443
  • [6] Opportunities and challenges of artificial intelligence in healthcare
    Iliashenko, Oksana
    Bikkulova, Zilia
    Dubgorn, Alissa
    [J]. INTERNATIONAL SCIENCE CONFERENCE SPBWOSCE-2018: BUSINESS TECHNOLOGIES FOR SUSTAINABLE URBAN DEVELOPMENT, 2019, 110
  • [7] Opportunities and Challenges with Artificial Intelligence in Genomics
    Kurant, Danielle E.
    [J]. CLINICS IN LABORATORY MEDICINE, 2023, 43 (01) : 87 - 97
  • [8] Artificial Intelligence in Radiology: Opportunities and Challenges
    Flory, Marta N.
    Napel, Sandy
    Tsai, Emily B.
    [J]. SEMINARS IN ULTRASOUND CT AND MRI, 2024, 45 (02) : 152 - 160
  • [9] Artificial intelligence for education: challenges and opportunities
    Bolano-Garcia, Matilde
    [J]. PRAXIS-COLOMBIA, 2024, 20 (01): : 8 - 12
  • [10] Opportunities and Challenges for Artificial Intelligence in India
    Kalyanakrishnan, Shivaram
    Panicker, Rahul Alex
    Natarajan, Sarayu
    Rao, Shreya
    [J]. PROCEEDINGS OF THE 2018 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (AIES'18), 2018, : 164 - 170