دورية أكاديمية

Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence

التفاصيل البيبلوغرافية
العنوان: Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
المؤلفون: Kader, Rawen, Baggaley, Rebecca F, Hussein, Mohamed, Ahmad, Omer F, Patel, Nisha, Corbett, Gareth, Dolwani, Sunil, Stoyanov, Danail, Lovat, Laurence B
بيانات النشر: BMJ Publishing Group
سنة النشر: 2022
المجموعة: Cardiff University: ORCA (Online Research @ Cardiff)
الوصف: Background and aims: With the potential integration of artificial intelligence (AI) into clinical practice, it is essential to understand end users’ perception of this novel technology. The aim of this study, which was endorsed by the British Society of Gastroenterology (BSG), was to evaluate the UK gastroenterology and endoscopy communities’ views on AI.Methods: An online survey was developed and disseminated to gastroenterologists and endoscopists across the UK.Results: One hundred four participants completed the survey. Quality improvement in endoscopy (97%) and better endoscopic diagnosis (92%) were perceived as the most beneficial applications of AI to clinical practice. The most significant challenges were accountability for incorrect diagnoses (85%) and potential bias of algorithms (82%). A lack of guidelines (92%) was identified as the greatest barrier to adopting AI in routine clinical practice. Participants identified real-time endoscopic image diagnosis (95%) as a research priority for AI, while the most perceived significant barriers to AI research were funding (82%) and the availability of annotated data (76%). Participants consider the priorities for the BSG AI Task Force to be identifying research priorities (96%), guidelines for adopting AI devices in clinical practice (93%) and supporting the delivery of multicentre clinical trials (91%).Conclusion: This survey has identified views from the UK gastroenterology and endoscopy community regarding AI in clinical practice and research, and identified priorities for the newly formed BSG AI Task Force.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://orca.cardiff.ac.uk/id/eprint/153633/1/423.full.pdfTest; Kader, Rawen, Baggaley, Rebecca F, Hussein, Mohamed, Ahmad, Omer F, Patel, Nisha, Corbett, Gareth, Dolwani, Sunil https://orca.cardiff.ac.uk/view/cardiffauthors/A031553M.htmlTest orcid:0000-0002-3113-5472 orcid:0000-0002-3113-5472, Stoyanov, Danail and Lovat, Laurence B 2022. Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence. Frontline Gastroenterology 13 (5) , pp. 423-429. 10.1136/flgastro-2021-101994 https://doi.org/10.1136/flgastro-2021-101994Test file https://orca.cardiff.ac.uk/id/eprint/153633/1/423.full.pdfTest
DOI: 10.1136/flgastro-2021-101994
الإتاحة: https://doi.org/10.1136/flgastro-2021-101994Test
https://orca.cardiff.ac.uk/id/eprint/153633Test/
https://orca.cardiff.ac.uk/id/eprint/153633/1/423.full.pdfTest
حقوق: cc_by_4_0
رقم الانضمام: edsbas.D890907F
قاعدة البيانات: BASE