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

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) 2023 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 View

Books/Policy Documents

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