This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (571) Artificial Intelligence (1407) Ethics, Privacy, and Legal Issues (485) Surgery, Trauma and Surgical Sciences (146) New and Emerging Methods and Tools in Surgery and Anaesthesiology (42) Tools, Programs and Algorithms (272) eHealth Infrastructures (350)

Published on in Vol 10, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26552, first published .
Investigating the Ethical and Data Governance Issues of Artificial Intelligence in Surgery: Protocol for a Delphi Study

Investigating the Ethical and Data Governance Issues of Artificial Intelligence in Surgery: Protocol for a Delphi Study

Investigating the Ethical and Data Governance Issues of Artificial Intelligence in Surgery: Protocol for a Delphi Study

Authors of this article:

Kyle Lam1 Author Orcid Image ;   Fahad M Iqbal1 Author Orcid Image ;   Sanjay Purkayastha1 Author Orcid Image ;   James M Kinross1 Author Orcid Image
Article Authors Cited by (21) Tweetations (13) Metrics

Journals

  1. Acharya A, Judah G, Ashrafian H, Sounderajah V, Johnstone-Waddell N, Stevenson A, Darzi A. Investigating the Implementation of SMS and Mobile Messaging in Population Screening (the SIPS Study): Protocol for a Delphi Study. JMIR Research Protocols 2021;10(12):e32660 View
  2. Lam K, Abràmoff M, Balibrea J, Bishop S, Brady R, Callcut R, Chand M, Collins J, Diener M, Eisenmann M, Fermont K, Neto M, Hager G, Hinchliffe R, Horgan A, Jannin P, Langerman A, Logishetty K, Mahadik A, Maier-Hein L, Antona E, Mascagni P, Mathew R, Müller-Stich B, Neumuth T, Nickel F, Park A, Pellino G, Rudzicz F, Shah S, Slack M, Smith M, Soomro N, Speidel S, Stoyanov D, Tilney H, Wagner M, Darzi A, Kinross J, Purkayastha S. A Delphi consensus statement for digital surgery. npj Digital Medicine 2022;5(1) View
  3. Gama F, Tyskbo D, Nygren J, Barlow J, Reed J, Svedberg P. Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32215 View
  4. Lo B, Pham Q, Sockalingam S, Wiljer D, Strudwick G. Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study. DIGITAL HEALTH 2022;8:205520762211290 View
  5. Lam K, Chen J, Wang Z, Iqbal F, Darzi A, Lo B, Purkayastha S, Kinross J. Machine learning for technical skill assessment in surgery: a systematic review. npj Digital Medicine 2022;5(1) View
  6. Jia Q, Zhu Y, Xu R, Zhang Y, Zhao Y. Making the hospital smart: using a deep long short-term memory model to predict hospital performance metrics. Industrial Management & Data Systems 2022;122(10):2151 View
  7. Sanz M, Carrillo de Albornoz A, Martín C, Needleman I, Tonetti M. Multi‐stakeholder contribution to the identification of a core outcome set and measurements in implant dentistry (ID‐COSM initiative) using the Delphi methodology. Journal of Clinical Periodontology 2023;50(S25):107 View
  8. Sanz M, Carrillo de Albornoz A, Martín C, Needleman I, Tonetti M. Multi‐stakeholder contribution to the identification of a core outcome set and measurements in implant dentistry (ID‐COSM initiative) using the Delphi methodology. Clinical Oral Implants Research 2023;34(S25):108 View
  9. Acharya A, Judah G, Ashrafian H, Sounderajah V, Johnstone-Waddell N, Harris M, Stevenson A, Darzi A. Investigating the national implementation of SMS and mobile messaging in population screening (The SIPS study). eBioMedicine 2023;93:104685 View
  10. Satapathy P, Hermis A, Rustagi S, Pradhan K, Padhi B, Sah R. Artificial intelligence in surgical education and training: opportunities, challenges, and ethical considerations – correspondence. International Journal of Surgery 2023;109(5):1543 View
  11. Acosta-Mérida M. DATA GOVERNANCE in digital surgery. Cirugía Española (English Edition) 2024;102:S8 View
  12. Maaß L, Zeeb H, Rothgang H. International perspectives on measuring national digital public health system maturity through a multidisciplinary Delphi study. npj Digital Medicine 2024;7(1) View
  13. Denecke K, May R, Rivera Romero O. Potential of Large Language Models in Health Care: Delphi Study. Journal of Medical Internet Research 2024;26:e52399 View
  14. Fadel M, Walshaw J, Pecchini F, Elhadi M, Yiasemidou M, Boal M, Carrano F, Massey L, Antoniou S, Nickel F, Perretta S, Fuchs H, Hanna G, Francis N, Kontovounisios C, Tanal M. European Robotic Surgery Consensus (ERSC): Protocol for the development of a consensus in robotic training for gastrointestinal surgery trainees. PLOS ONE 2024;19(5):e0302648 View
  15. Acosta-Mérida M. Gobierno del dato en la cirugía digital. Cirugía Española 2024;102:S8 View
  16. Deroncele-Acosta A, Bellido-Valdiviezo O, Sánchez-Trujillo M, Palacios-Núñez M, Rueda-Garcés H, Brito-Garcías J. Ten Essential Pillars in Artificial Intelligence for University Science Education: A Scoping Review. Sage Open 2024;14(3) View
  17. Bubinger H, Dinneen J. “What could go wrong?”: An evaluation of ethical foresight analysis as a tool to identify problems of AI in libraries. The Journal of Academic Librarianship 2024;50(5):102943 View
  18. Alon I, Haidar H, Haidar A, Guimón J. The future of artificial intelligence: Insights from recent Delphi studies. Futures 2025;165:103514 View

Books/Policy Documents

  1. Shawky S, Thaichon P, Quach S, Ferm L. Philosophy of Artificial Intelligence and Its Place in Society. View