Integration of Endocuff‐Assisted and Computer‐Aided Colonoscopy: A Meta‐Analysis of Randomized Controlled Trials [PDF]
Introduction Colorectal cancer (CRC) is a leading cause of cancer‐related deaths, with missed lesions during colonoscopy contributing to increased mortality.
Umar Akram +8 more
doaj +2 more sources
Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps [PDF]
BackgroundThe presence of computer-aided detection (CADe) false positives (FPs) may pose a hurdle to endoscopists’ confidence in, and acceptance of this technology.
Shan Lei +5 more
doaj +2 more sources
A novel cloud-based artificial intelligence for real-time detection of colorectal neoplasia – a randomized controlled trial (EAGLE) [PDF]
Previously, colorectal polyp computer-aided detection (CADe) systems required on-site high-performance hardware installations (e.g., FPGAs/GPUs), creating practical challenges to upgrades and tying hospitals to legacy hardware. Cloud-based CADe solutions
Rawen Kader +12 more
doaj +2 more sources
Clinical Efficacy of Real-Time Artificial Intelligence-Assisted Colonoscopy in Colorectal Polyp Detection: A Prospective Multicenter Randomized Controlled Trial [PDF]
Background/Aims : Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems have been introduced to increase the polyp detection rate (PDR) during colonoscopy, potentially enhancing
Han Jo Jeon +10 more
doaj +2 more sources
A comparative study benchmarking colon polyp with computer‐aided detection (CADe) software
Background and aims Computer‐aided detection software (CADe) has shown promising results in real‐time polyp detection, but a limited head‐to‐head comparison of the available CADe systems has been performed.
Nikolaos Papachrysos, Thomas De Lange
exaly +2 more sources
Evaluation of computer-aided detection for gastric cancer using white-light and linked-color imaging: a pilot study [PDF]
Background and Aims: In recent years, the field of endoscopic artificial intelligence has seen significant advancements, largely because of the widespread implementation of deep learning techniques.
Takeshi Yasuda, MD, PhD +11 more
doaj +2 more sources
O presente artigo aborda o abuso do poder regulatório, previsto no artigo 4º da nova Lei de Liberdade Econômica (Lei 13.874/19), como uma evolução da advocacia da concorrência no Brasil. Para isso foi abordada uma visão teórica das normas regulatórias e
Dario da Silva Oliveira Neto +1 more
doaj +1 more source
Nitric oxide-inhibited chloride transport in cortical thick ascending limbs is reversed by 8-iso-prostaglandin-F2α [PDF]
Background Sodium chloride (NaCl) reabsorption in the cortical thick ascending limb (cTAL) is regulated by opposing effects. Nitric oxide (NO) inhibits NaCl reabsorption while 8-iso-prostaglandin-F2α (8-iso-PGF2α) stimulates it. Their interaction has not
Pablo D. Cabral +5 more
doaj +1 more source
Detection of epileptic seizures in EEG by using machine learning techniques
In this research a public dataset of recordings of EEG signals of healthy subjects and epileptic patients was used to build three simple classifiers with low time complexity, these are decision tree, random forest and AdaBoost algorithm.
Muayed S AL-Huseiny, Ahmed S. Sajit
doaj +1 more source
GI Genius increases small and right-sided adenoma and sessile serrated lesion detection rate when used with EndoCuff in a real-world setting: a retrospective United States study [PDF]
Background/Aims The real-world efficacy of computer-aided detection (CADe) systems, such as GI Genius (Medtronic), is unclear. We examined the colonoscopy metrics using CADe alone and with a mucosal exposure device (EndoCuff; Olympus) in a real-world ...
Jeong Hoon Kim +7 more
doaj +1 more source

