Byrne M. Artificial intelligence in gastroenterology. Techniques and Innovations in Gastrointestinal Endoscopy 2020;22:41.

Article  Google Scholar 

Wang P, Berzin TM, Glissen Brown JR et al. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut 2019;68:1813–1819.

Article  PubMed  Google Scholar 

Zhu Y, Wang Q-C, Xu M-D et al. Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy. Gastrointest Endosc 2019;89:806–815.e1.

Article  PubMed  Google Scholar 

Maeda Y, Kudo S-E, Mori Y et al. Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video). Gastrointest Endosc 2019;89:408–415.

Article  PubMed  Google Scholar 

Zachariah R, Samarasena J, Luba D, et al. Prediction of polyp pathology using convolutional neural networks achieves o identify the presence of histologic inflammation associated with.

Bitterman DS, Aerts HJWL, Mak RH. Approaching autonomy in medical artificial intelligence. The Lancet Digital Health 2020;2:e447–e449.

Article  PubMed  Google Scholar 

Aggarwal N, Singh A, Garcia P et al. Ethical implications of artificial intelligence in gastroenterology. Clin Gastroenterol Hepatol 2024;22:689–692.

Article  PubMed  Google Scholar 

BMJ. Who owns patient data? The answer is not that simple. The BMJ. https://blogs.bmj.com/bmj/2020/08/06/who-owns-patient-data-the-answer-is-not-that-simple/. Published August 6, 2020. Accessed March 18, 2023.

Budin-Lj-Ljns patient data? The answer is not that simple. The BMJ. https://blogs.bmj.e of the challenges of modern biomedical research. BMC Medical Ethics 2017;18:4.

van Delden JJM, van der Graaf R. Revised CIOMS international ethical guidelines for health-related research involving humans. JAMA 2017;317:135–136.

Article  PubMed  Google Scholar 

Ge C, Muehlschlegel S. The opt-out approach in research to benefit public health: is alth-related research involving humans. JA

Ahmad OF, Stoyanov D, Lovat LB. Barriers and pitfalls for artificial intelligence in gastroenterology: ethical and regulatory issues. Techniques and Innovations in Gastrointestinal Endoscopy 2020;22:80–84.

Article  Google Scholar 

Na L, Yang C, Lo C-C et al. Feasibility of reidentifying individuals in large national physical activity data sets from which protected health information has been removed with use of machine learning. JAMA Network Open 2018;1:e186040.

Article  PubMed  PubMed Central  Google Scholar 

Gymrek M, McGuire AL, Golan D et al. Identifying personal genomes by surname inference. Science 2013;339:321–324.

Article  CAS  PubMed  Google Scholar 

Xiang D, Cai W. Privacy protection and secondary use of health data: strategies and methods. Biomed Res Int 2021;2021:6967166.

Article  PubMed  PubMed Central  Google Scholar 

Malin B, Benitez K, Masys D. Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule. J Am Med Inform Assoc 2011;18:3–10.

Article  PubMed  Google Scholar 

de Moraes Rossetto AG, Sega C, Leithardt VRQ. An architecture for managing data privacy in healthcare with blockchain. Sensors (Basel) 2022;22:8292.

Article  PubMed  Google Scholar 

Dimitrov DV. Blockchain applications for healthcare data management. Healthc Inform Res 2019;25:51–56.

Article  PubMed  PubMed Central  Google Scholar 

Johnson AEW, Bulgarelli L, Shen L et al. MIMIC-IV, a freely accessible electronic health record dataset. Sci Data 2023;10:1.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Samad M, Angel M, Rinehart J, et al. Medical informatics operating room vitals and events repository (MOVER): a public-access operating room database. JAMIA Open 2023;6:ooad084.

Latonen L, Ruusuvuori P. Building a central repository landmarks a new era for artificial intelligence-assisted digital pathology development in Europe. Eur J Cancer 2021;150:31–32.

Article  PubMed  Google Scholar 

Acerbi A, Stubbersfield JM. Large language models show human-like content biases in transmission chain experiments. Proceedings of the National Academy of Sciences 2023;120:e2313790120.

Article  CAS  Google Scholar 

Bird S, Dud Dudersfield JM. Large language models show human-like content biases in irness in AI. Microsoft, 2020. https://www.microsoft.com/en-us/research/publication/fairlearn-a-toolkit-for-assessing-and-improving-fairness-in-ai/.

Bond RR, Novotny T, Andrsova I et al. Automation bias in medicine: the influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms. J Electrocardiol 2018;51:S6–S11.

Article  PubMed  Google Scholar 

Dratsch T, Chen X, Rezazade Mehrizi M et al. Automation bias in mammography: the impact of artificial intelligence BI-RADS suggestions on reader performance. Radiology 2023;307:e222176.

Article  PubMed  Google Scholar 

Wang D-Y, Ding J, Sun A-L et al. Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias. J Am Med Inform Assoc 2023;30:1684–1692.

Article  PubMed  Google Scholar 

Geis JR, Brady AP, Wu CC et al. Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety Statement. J Am Coll Radiol 2019;16:1516–1521.

Article  PubMed  Google Scholar 

O. eil C. Weapons of math destruction: how big data increases inequality and threatens democracy. Crown, 2016.

Venkatesh KP, Brito G. Lessons on regulation and implementation from the first FDA-cleared autonomous AI—interview with chairman and founder of digital diagnostics Michael Abramoff. Healthc (Amst) 2023;11:100692.

Article  PubMed  Google Scholar 

Elamin S, Duffourc M, Berzin TM, et al. Artificial Intelligence and Medical Liability in Gastrointestinal Endoscopy. Clin Gastroenterol Hepatol March 2024:S1542–3565(24)00293-3.

El Zoghbi M, Shaukat A, Hassan C et al. Artificial intelligenceence medical lical diagnosis: a comprehensive review of its role in leave-in-situ and resect-and-discard strategies in colonoscopy. Clinical and Translational Gastroenterology 2023;14:e00640.

Article  PubMed  PubMed Central  Google Scholar 

Sung JJ, Poon NC. Artificial intelligence in gastroenterology: where are we heading? Front Med 2020;14:511–517.

Article  PubMed  Google Scholar 

Maliha G, Gerke S, Cohen IG, et al. Artificial intelligence and liability in medicine: balancing safety and innovation. Milbank Q 2021;99:629–647.

Nadeem R. 60% of Americans Would Be Uncomfortable With Provider Relying on AI in Their Own Health Care. Pew Research Center Science & Society February 2023. https://www.pewresearch.org/science/2023/02/22/60-of-americans-would-be-uncomfortable-with-provider-relying-on-ai-in-their-own-health-care/. Accessed March 19, 2023.

Longoni C, Bonezzi A, Morewedge CK. Resistance to medical artificial intelligence. Journal of Consumer Research 2019;46:629–650.

Article  Google Scholar 

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med 2019;25:44–56.

Article  CAS  PubMed  Google Scholar