PEACE: Perception and Expectations toward Artificial Intelligence in Capsule Endoscopy

Abstract

Artificial intelligence (AI) has shown promising results in digestive endoscopy, especially in capsule endoscopy (CE). However, some physicians still have some difficulties and fear the advent of this technology. We aimed to evaluate the perceptions and current sentiments toward the use of AI in CE. An online survey questionnaire was sent to an audience of gastroenterologists. In addition, several European national leaders of the International CApsule endoscopy REsearch (I CARE) Group were asked to disseminate an online survey among their national communities of CE readers (CER). The survey included 32 questions regarding general information, perceptions of AI, and its use in daily life, medicine, endoscopy, and CE. Among 380 European gastroenterologists who answered this survey, 333 (88%) were CERs. The mean average time length of experience in CE reading was 9.9 years (0.5–22). A majority of CERs agreed that AI would positively impact CE, shorten CE reading time, and help standardize reporting in CE and characterize lesions seen in CE. Nevertheless, in the foreseeable future, a majority of CERs disagreed with the complete replacement all CE reading by AI. Most CERs believed in the high potential of AI for becoming a valuable tool for automated diagnosis and for shortening the reading time. Currently, the perception is that AI will not replace CE reading.

Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

“…Forty included studies mentioned potentially replacing physicians and changes in employment market caused by clinical AI. The support rate for the statement that AI could replace human physicians ranged from 6 to 78% ( 19 , 37 , 58 ), of which 31 (77.50%) studies showed that the support rate was less than half ( 11 , 16 – 19 , 21 , 22 , 24 , 25 , 30 , 33 – 37 , 39 – 42 , 44 – 50 , 55 , 56 , 59 , 60 , 63 ). Radiologists did not view AI as a threat to their professional roles or their autonomy, however, radiographers showed greater concern about AI undermining their job security ( 68 ).…”

Nomenclature and Definition of Atrophic Lesions in Small Bowel Capsule Endoscopy: A Delphi Consensus Statement of the International CApsule endoscopy REsearch (I-CARE) Group

“…This particular need is going to become even more important in the next few years, as the use of artificial intelligence (AI) software for endoscopy diagnosis is expected to markedly increase. Large CE databases with solid and shared findings between experts are keystones for effective machine learning and for building precise and trustworthy AI programs [ 24 , 25 ]. The results of our work have shown that the main features of atrophic lesions are mosaicism, scalloping, and folds reduction, and they have rapidly found consensus among readers of SBCEs, even among those who read only a few CEs of coeliac patients per year.…”

Edge artificial intelligence wireless video capsule endoscopy

“…Finally, ethical issues related to physician’s acceptance and patient’s confidence in novel computer-aided algorithms such as onboard AI needs to be discussed. Even though studies such as PEACE 37 clearly indicate that there is a significant tendency towards AI acting as adversarial rather than assistive tool, (i.e., only selected images will be proofread by the expert, while others will simply not be double-checked), the fact that not all the images are available for a full screening process could be a cause for concern. Our platform, using OTAP, is capable of transmitting all images, if pre-indications on various lesions exist.…”