Artificial intelligence and automation in endoscopy and surgery

F Chadebecq, LB Lovat, D Stoyanov - … Reviews Gastroenterology & …, 2023 - nature.com
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment

C Zhang, J Xu, R Tang, J Yang, W Wang, X Yu… - Journal of Hematology & …, 2023 - Springer
Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Artificial intelligence in intestinal polyp and colorectal cancer prediction

A Sharma, R Kumar, G Yadav, P Garg - Cancer letters, 2023 - Elsevier
Artificial intelligence (AI) algorithms and their application to disease detection and decision
support for healthcare professions have greatly evolved in the recent decade. AI has been …

[HTML][HTML] Artificial intelligence and inflammatory bowel disease: Where are we going?

L Da Rio, M Spadaccini, TL Parigi… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and
relapsing conditions that pose a growing burden on healthcare systems worldwide. Because …

Equity within AI systems: What can health leaders expect?

E Gurevich, B El Hassan… - Healthcare management …, 2023 - journals.sagepub.com
Artificial Intelligence (AI) for health has a great potential; it has already proven to be
successful in enhancing patient outcomes, facilitating professional work and benefiting …

Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement

Y Mori, JE East, C Hassan, N Halvorsen… - Digestive …, 2023 - Wiley Online Library
The number of artificial intelligence (AI) tools for colonoscopy on the market is increasing
with supporting clinical evidence. Nevertheless, their implementation is not going smoothly …

[HTML][HTML] Impact of artificial intelligence on colonoscopy surveillance after polyp removal: a pooled analysis of randomized trials

Y Mori, P Wang, M Løberg, M Misawa, A Repici… - Clinical …, 2023 - Elsevier
Background and Aims Artificial intelligence (AI) tools aimed at improving polyp detection
have been shown to increase the adenoma detection rate during colonoscopy. However, it …

[HTML][HTML] Advancing digital health innovation in oncology: priorities for high-value digital transformation in cancer care

S Patel, JC Goldsack, G Cordovano, A Downing… - Journal of Medical …, 2023 - jmir.org
Although health care delivery is becoming increasingly digitized, driven by the pursuit of
improved access, equity, efficiency, and effectiveness, progress does not appear to be …

Calibration and validation of the colorectal cancer and adenoma incidence and mortality (CRC-AIM) microsimulation model using deep neural networks

V Vahdat, O Alagoz, JV Chen, L Saoud… - Medical Decision …, 2023 - journals.sagepub.com
Objectives Machine learning (ML)–based emulators improve the calibration of decision-
analytical models, but their performance in complex microsimulation models is yet to be …

Performance and attitudes toward real-time computer-aided polyp detection during colonoscopy in a large tertiary referral center in the United States

F Nehme, E Coronel, DA Barringer, LG Romero… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Computer-aided detection (CADe) has been shown to improve polyp
detection in clinical trials. Limited data exist on the impact, utilization, and attitudes toward …