Results 11 to 20 of about 10,250 (189)

Evaluation of Computer-aided Detection for Identifying Missed Gastric Cancer After Endoscopic Submucosal Dissection. [PDF]

open access: yesDEN Open
ABSTRACT Objectives Computer‐aided detection (CADe) using deep learning is promising for reducing missed gastric cancers (MGCs) and supporting physicians in double‐checking endoscopic images. We aimed to evaluate the CADe efficacy for MGCs after endoscopic submucosal dissection (ESD).
Minamide T   +14 more
europepmc   +2 more sources

Computer-aided polyp detection and characterisation systems to support colonoscopy: a systematic review with results stratified by each individual artificial intelligence system [PDF]

open access: yesBMJ Digital Health & AI
Objective To assess the clinical effectiveness and diagnostic accuracy of specific artificial intelligence (AI) systems with computer-aided polyp detection (CADe) and/or computer-aided polyp characterisation (CADx) functionalities.Methods and analysis ...
Victoria Wakefield   +5 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]

open access: yesFrontiers in Medicine
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

Breaking the Cade Cipher [PDF]

open access: yes, 2007
A cryptanalysis is given of a cryptosystem introduced by J.J. Cade, which is based on solving equations over finite fields.
N. S. James   +2 more
openaire   +1 more source

AI at CADE/IJCAR [PDF]

open access: yesEPiC Series in Computing, 2018
This text briefly discusses and criticizes the prevailing attitudes towards AI and Machine Learning research in the current Automated Reasoning (CADE/IJCAR) community.
openaire   +3 more sources

Ein portalpräorganisiertes Cucurbit[7]uril‐Ruthenium‐Konjugat ermöglicht motivselektive Proteindetektion

open access: yesAngewandte Chemie, EarlyView.
Die gezielte Veränderung der Erkennungsumgebung am Portal von Cucurbit[7]uril (CB7) wandelt einen Wirt ohne intrinsisches optisches Signal in einen motivselektiven photolumineszenten Rezeptor um. Das am Portal vororganisierte CB7‐Rubpy‐Konjugat zeigt Änderungen der Zugänglichkeit aromatischer Motive unmittelbar an und ermöglicht dadurch die optische ...
Patrick Gruhs   +10 more
wiley   +1 more source

Trends in publicly subsidized and private access to GLP‐1 medicines indicated for type 2 diabetes in Australia, 2020–2025

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims GLP‐1 medicines provide substantial cardio‐renal benefits for type 2 diabetes (T2D) and are increasingly used for weight loss. Most high‐income countries subsidize access for T2D with restrictions; use outside of these restrictions occurs through private prescriptions. Despite strong consumer demand, the extent of private access to GLP‐1 medicines
Michael O. Falster   +10 more
wiley   +1 more source

Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population

open access: yesThe Saudi Journal of Gastroenterology
Background:Computer aided detection (CADe) colonoscopy has been shown in randomized controlled trials to improve detection of adenomatous colorectal polyps. However, in real-world settings the benefits are less clear.
Maryam A. Alahmad   +10 more
doaj   +1 more source

Geological carbon dioxide storage in the German North Sea: Static‐to‐dynamic capacity refinement for a 10 Mt/y injection scenario

open access: yesDeep Underground Science and Engineering, EarlyView.
This study assesses whether a saline aquifer in the German North Sea can sustain industrial‐scale CO2 injection at 10 Mt/year over 30 years. A 3D reservoir model is used to compare static capacity with dynamically achievable storage. The work links site‐scale injection strategy design with basin‐scale pressure response, providing a framework for ...
Firdovsi Gasanzade, Sebastian Bauer
wiley   +1 more source

Impact of User’s Background Knowledge and Polyp Characteristics in Colonoscopy with Computer-Aided Detection

open access: yesGut and Liver
Background/Aims: We investigated how interactions between humans and computer-aided detection (CADe) systems are influenced by the user’s experience and polyp characteristics.Methods: We developed a CADe system using YOLOv4, trained on 16,996 polyp ...
Jooyoung Lee   +14 more
doaj   +1 more source

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