... screening: a systematic review. Acta Radiol. 2019;60(1):13-18. 37 38 39 12. Heselmans A, Delvaux N, Laenen A, Van de Velde S, Ramaekers D, Kunnamo I, et al. 40 41 Computerized clinical decision support system for diabetes in primary care does not 42 43 improve quality of care: a cluster-randomized...

.... © The Author(s) 2025. Published by Oxford University Press on behalf of the Society for Computational Design and Engineering. 2025 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/ ), which permits...

... 2025 © The Author(s) 2025. Published by Oxford University Press on behalf of The British Computer Society. 2025 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/ ), which permits non...

..., distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Although computers, smartphones, and internet service are essential 21st century tools, digital equity stakeholders often focus on in-home internet service in their advocacy. Yet few scholars have compared...

... with advanced psychometrics capability using computer adaptive tests (CAT)) is needed. The current study developed a conceptual model as the first step in creating a new measurement tool for teen burn survivors aged 12 to 19 years, inclusively. To identify outcomes important in assessment of burn recovery...

.... 1A ). rheumatoid arthritis RA digital biomarker hand motion tracking disease activity finger joint mobility smartphone camera kinetic features remote patient monitoring RPM computer vision artificial intelligence AI Key messages Single-camera motion capture using smartphones could...

... network (CNN) is an artificial neural network used for object detection and creation of computerized models capable of precisely solving many visual tasks such as diagnosis and classification of objects. CNNs can learn specific visual characteristics that support precise clinical interpretations and have...

... The rapid advancements in neuroscience highlight the pressing need to safeguard neural personal information (NPI). China has achieved significant progress in brain–computer interface technology and its clinical applications. Considering the intrinsic vulnerability of NPI and the paucity of legal scrutiny...

... alterations, however studies are still lacking methodological standardization. artificial intelligence machine learning maxillary sinusitis dental radiograph diagnostic imaging systematic review dentistry deep learning transfer learning computer neural network Coordenação de Aperfeiçoamento de...

...Sheral Thompson; Mark Lochrie; Dan Fitton; Janet Read Corresponding author: School of Engineering and Computing, University of Central Lancashire, Preston, PR1 2HE, United Kingdom. Email: [email protected] 12 6 2024 14 1 2025 06 2 2025 © The Author(s) 2025. Published by Oxford...

... of implementation phases. CPOE, computerized provider order entry; ePPID, electronic positive patient identification; ERBI, electronic remote blood issue; MSBOS, maximum surgical blood order schedule; OR, operating room. Electronic PPID improves patient safety by removing the requirement for 2 licensed independent...

... early and accurate detection essential for improving patient outcomes. This paper presents a comprehensive review of significant advancements in early melanoma detection, with a focus on integrating computer vision and deep learning techniques. This study investigates cutting-edge neural networks...

... be measured accurately in low-dose chest CT with deep learning-based iterative reconstruction while reducing image noise and improving spatial resolution. Deep learning-based reconstruction Low dose Computer tomography Bone mineral density Key Research and Development Program of Shaanxi 10.13039...

.../standard_publication_model ) ABSTRACT A common practice for establishing the reliability of a new computer-aided diagnostic (CAD) device is to evaluate how well its clinical measurements agree with those of a gold standard test. However, in many clinical studies, a gold standard is unavailable, and one needs to aggregate...

... septum is not well established. We created three-dimensional printed models and computer graphics based on multi-slice computed tomography of patients with complex multiple ventricular septal defects for surgical decision planning of this difficult cardiac defect. Seven patients with complex multiple...

.... AI, artificial intelligence; ADR, adenoma detection rate; CADe, computer-aided detection systems; CRC, colorectal cancer. Abstract Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to reducing CRC. Recently, computer-aided...

...-diagnosis can lead to physicians not detecting a disease early on, which could lead to increased morbidity and mortality. explainable artificial intelligence (XAI) retrieval augmented generation (RAG) computer vision physician-in-the-loop case-based reasoning Abstract Subjective variability in human...

... evaluated for motility, morphology, and plasma membrane integrity. Sperm kinematics and concentration were objectively determined via computer-assisted sperm analysis (CASA-IVOS II System). At the end of the test, bulls were classified as feed efficient (low RFI: LRFI) or feed inefficient (high RFI: HRFI...

... discourse analysis and computational text analysis can provide. The map to the Reddit language research space we create here can help digital humanities researchers to make sense of the variety of different theoretical vantage points and methodologies that are currently being employed to Reddit, and it can...

... other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected]. Artificial intelligence AI Endoscopy Datasets Machine learning computer vision Gastroenterology Data...