Kraszewski S, Szczurek W, Szymczak J, Regula M, Neubauer K. Machine learning prediction model for inflammatory bowel disease based on laboratory markers: working model in a discovery Cohort study. J Clin Med. 2021;10:4745.
Article CAS PubMed PubMed Central Google Scholar
Kroner PT, Engels MM, Glicksberg BS, Johnson KW, Mzaik O, van Hooft JE et al. Artificial intelligence in gastroenterology: a state-of-the-art review. World J Gastroenterol. 2021;27:6794–6824.
Article PubMed PubMed Central Google Scholar
Abdul Rahman H, Ottom MA, Dinov ID. Machine learning-based colorectal cancer prediction using global dietary data. BMC Cancer. 2023;23:144.
Article PubMed PubMed Central Google Scholar
Hassan C, Repici A, Sharma P. Incorporating artificial intelligence into gastroenterology practices. Clin Gastroenterol Hepatol. 2023;21:1687–1689.
Hassan C, Spadaccini M, Mori Y, Foroutan F, Facciorusso A, Gkolfakis P et al. Real-time computer-aided detection of colorectal neoplasia during colonoscopy: a systematic review and meta-analysis. Ann Intern Med. 2023;176:1209–1220.
Stidham RW, Takenaka K. Artificial intelligence for disease assessment in inflammatory bowel disease: how will it change our practice? Gastroenterology. 2022;162:1493–1506.
Stidham RW, Enchakalody B, Wang SC, Su GL, Ross B, Al-Hawary M, Wasnik AP. Artificial intelligence for quantifying cumulative small bowel disease severity on CT-enterography in Crohn’s disease. Am J Gastroenterol. 2024;119:1885–1893.
Article CAS PubMed Google Scholar
Silverman AL, Shung D, Stidham RW, Kochhar GS, Iacucci M. How artificial intelligence will transform clinical care, research, and trials for inflammatory bowel disease. Clin Gastroenterol Hepatol. 2025;23:428–39.e4.
Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366:447–453.
Article CAS PubMed Google Scholar
Ali H, Muzammil MA, Dahiya DS, Ali F, Yasin S, Hanif W et al. Artificial intelligence in gastrointestinal endoscopy: a comprehensive review. Ann Gastroenterol. 2024;37:133–141.
PubMed PubMed Central Google Scholar
Uche-Anya EN, Gerke S, Berzin TM. Video endoscopy as big data: balancing privacy and progress in gastroenterology. Am J Gastroenterol. 2024;119:600–605.
Pinton P. Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert opinion. Ann Med. 2023;55:2300670.
Hashmi OU, Chan N, de Vries CF, Gangi A, Jehanli L, Lip G. Artificial intelligence in radiology: trainees want more. Clin Radiol. 2023;78:e336–e341.
Civaner MM, Uncu Y, Bulut F, Chalil EG, Tatli A. Artificial intelligence in medical education: a cross-sectional needs assessment. BMC Med Educ. 2022;22:772.
Article PubMed PubMed Central Google Scholar
Leggett CL, Parasa S, Repici A, Berzin TM, Gross SA, Sharma P. Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology. Gastrointest Endosc. 2024;99:483–89.e2.
Sharma A, Minh Duc NT, Luu Lam Thang T, Nam NH, Ng SJ, Abbas KS et al. A consensus-based checklist for reporting of survey studies (CROSS). J Gen Intern Med. 2021;36:3179–3187.
Article PubMed PubMed Central Google Scholar
Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208.
Article PubMed PubMed Central Google Scholar
Liu DS, Sawyer J, Luna A, Aoun J, Wang J, Boachie L et al. Perceptions of US medical students on artificial intelligence in medicine: mixed methods survey study. JMIR Med Educ. 2022;8:e38325.
Article PubMed PubMed Central Google Scholar
Khafaji MA, Safhi MA, Albadawi RH, Al-Amoudi SO, Shehata SS, Toonsi F. Artificial intelligence in radiology: are Saudi residents ready, prepared, and knowledgeable? Saudi Med J. 2022;43:53–60.
Article PubMed PubMed Central Google Scholar
van der Zander QEW, van der Ende-van Loon MCM, Janssen JMM, Winkens B, van der Sommen F, Masclee AAM, Schoon EJ. Artificial intelligence in (gastrointestinal) healthcare: patients’ and physicians’ perspectives. Sci Rep. 2022;12:16779.
Article PubMed PubMed Central Google Scholar
Klang E, Sourosh A, Nadkarni GN, Sharif K, Lahat A. Evaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations. Therap Adv Gastroenterol. 2023;16:17562848231218618.
Article PubMed PubMed Central Google Scholar
Hasan HE, Jaber D, Khabour OF, Alzoubi KH. Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study. BMC Med Ethics. 2024;25:55.
Article PubMed PubMed Central Google Scholar
Goh WW, Chia KY, Cheung MF, Kee KM, Lwin MO, Schulz PJ et al. Risk perception, acceptance, and trust of using AI in gastroenterology practice in the Asia-Pacific region: web-based survey study. JMIR AI. 2024;7:e50525.
Weidener L, Fischer M. Teaching AI ethics in medical education: a scoping review of current literature and practices. Perspect Med Educ. 2023;12:399–410.
Article PubMed PubMed Central Google Scholar
Schuur F, RezazadeMehrizi MH, Ranschaert E. Training opportunities of artificial intelligence (AI) in radiology: a systematic review. Eur Radiol. 2021;31:6021–6029.
Article PubMed PubMed Central Google Scholar
Zhang T, Androulakis IP, Bonate P, Cheng L, Helikar T, Parikh J et al. Two heads are better than one: current landscape of integrating QSP and machine learning: an ISoP QSP SIG white paper by the working group on the integration of quantitative systems pharmacology and machine learning. J Pharmacokinet Pharmacodyn. 2022;49:5–18.
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