Your browser doesn't support javascript.
loading
Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges.
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.
Afiliación
  • Malhotra K; Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
  • Wong BNX; Department of Surgery, Austin Hospital, Melbourne, AUS.
  • Lee S; Department of Orthopaedics, Toowoomba Hospital, Queensland, AUS.
  • Franco H; Department of Surgery, Bond University, Queensland, AUS.
  • Singh C; Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
  • Cabrera Silva LA; Department of Surgery, Universidad El Bosque, Bogotá, COL.
  • Iraqi H; Department of Surgery, Al-Yarmouk College of Medical Sciences, Khartoum, SDN.
  • Sinha A; Department of Surgery, MGM (Mahatma Gandhi Mission's) Medical College and Hospital, Mumbai, IND.
  • Burger S; Department of Surgery, Ngwelezana Hospital, KwaZulu-Natal, ZAF.
  • Breedt DS; Department of Surgery, King Edward VIII Hospital, Durban, ZAF.
  • Goyal K; Department of Internal Medicine, Dayanand Medical College and Hospital, Ludhiana, IND.
  • Dagli MM; Department of Neurosurgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
  • Bawa A; Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
Cureus ; 15(8): e43192, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37692604
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cureus Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cureus Año: 2023 Tipo del documento: Article