[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 …

[HTML][HTML] Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions

S Ali - npj Digital Medicine, 2022 - nature.com
Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches

WS Liew, TB Tang, CH Lin, CK Lu - Computer Methods and Programs in …, 2021 - Elsevier
Abstract Background and Objective The increased incidence of colorectal cancer (CRC) and
its mortality rate have attracted interest in the use of artificial intelligence (AI) based …

[HTML][HTML] μRALP and beyond: Micro-technologies and systems for robot-assisted endoscopic laser microsurgery

LS Mattos, A Acemoglu, A Geraldes… - Frontiers in Robotics …, 2021 - frontiersin.org
Laser microsurgery is the current gold standard surgical technique for the treatment of
selected diseases in delicate organs such as the larynx. However, the operations require …

[HTML][HTML] The advent of domain adaptation into artificial intelligence for gastrointestinal endoscopy and medical imaging

MJ Kim, SH Kim, SM Kim, JH Nam, YB Hwang, YJ Lim - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) is a subfield of computer science that aims to implement computer
systems that perform tasks that generally require human learning, reasoning, and perceptual …

Robotic Platforms for Therapeutic Flexible Endoscopy: A Literature Review

N Tada, K Sumiyama - Diagnostics, 2024 - mdpi.com
Flexible endoscopy, initially developed for diagnosis and tissue sampling, has been
adapted for therapeutic interventions, leading to the emergence of natural orifice …

The Detection of Nasopharyngeal Carcinomas Using a Neural Network Based on Nasopharyngoscopic Images

SX Wang, Y Li, JQ Zhu, ML Wang, W Zhang… - The …, 2024 - Wiley Online Library
Objective To construct and validate a deep convolutional neural network (DCNN)‐based
artificial intelligence (AI) system for the detection of nasopharyngeal carcinoma (NPC) using …

[HTML][HTML] Artificial endoscopy and inflammatory bowel disease: Welcome to the future

V Solitano, A Zilli, G Franchellucci, M Allocca… - Journal of Clinical …, 2022 - mdpi.com
Artificial intelligence (AI) is assuming an increasingly important and central role in several
medical fields. Its application in endoscopy provides a powerful tool supporting human …

Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary …

P An, Z Wang - Wiener Medizinische Wochenschrift, 2023 - Springer
Objective This study aimed to discuss the application value of an artificial intelligence-based
diagnosis and recognition system (AIDRS) in the teaching activities for Bachelor of Medicine …

[HTML][HTML] Deep learning for real-time detection of nasopharyngeal carcinoma during nasopharyngeal endoscopy

Z He, K Zhang, N Zhao, Y Wang, W Hou, Q Meng, C Li… - Iscience, 2023 - cell.com
Nasopharyngeal carcinoma (NPC) is known for high curability during early stage of the
disease, and early diagnosis relies on nasopharyngeal endoscopy and subsequent …