Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 32,271 to 32,280 of 221,076 articles

Analysis of B-Scan Ultrasonography Using Neural Networks to Predict Risk of Fibrosis in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).

Ultrasound in medicine & biology Apr 13, 2026
OBJECTIVE: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, underscoring the need for tools to stratify individual risk of disease progression. We evaluated whether logistic regression models augme... read more 

Improving patient treatment accuracy using transit dosimetry with Electronic Portal Imaging Device images and deep learning.

Physics and imaging in radiation oncology Apr 13, 2026
BACKGROUND AND PURPOSE: Electronic portal imaging devices (EPID) can be utilized for transit in vivo dosimetry (IVD). A major limitation of standard amorphous Silicon EPID detectors for usage IVD is their non-linear detector response to water equival... read more 

Do AI-based contouring algorithms influence physicians in the online adaptive radiotherapy of patients with bladder cancer?

Technical innovations & patient support in radiation oncology Apr 13, 2026
PURPOSE: In this prospective cross-over study, the precision of manual correction of the clinical target volume (CTV) during online-adaptive radiotherapy (ART) of patients with bladder cancer was investigated in dependence on the input of applied com... read more 

A dataset of high-resolution snapshots of the viscous sublayer from direct numerical simulation of a turbulent boundary layer up to Re θ=2400.

Data in brief Apr 13, 2026
This dataset comprises time-resolved 3D fluid field data (pressure and the three velocity components) from the viscous sublayer of a canonical zero-pressure-gradient turbulent boundary layer. In total it contains 16,384 snapshots, amounting to approx... read more 

Cosmic spike removal based on multi-feature fusion for long-time integrated Raman spectral detection.

Analytica chimica acta Apr 13, 2026
BACKGROUND: Raman spectral detection is commonly performed with a relatively long integration time to suppress the dominant interference of random detecting noise for better signal-to-noise ratio, while inevitably increasing the occurrence probabilit... read more 

Automated Imaging Differentiation for Dementia: Including Alzheimer Disease Dementia and Dementia with Lewy Bodies.

Neurology open access Apr 13, 2026
BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with Lewy bodies (DLB) remains a challenge. Free-water imaging has been investigated in neurodegenerative diseases and was found to be associated with neuro... read more 

Using Large Language Models to Determine Reasons for Missed Colon Cancer Screening Follow-Up.

Joint Commission journal on quality and patient safety Apr 13, 2026
BACKGROUND: Identifying reasons for missed preventive care, such as follow-up colonoscopy after an abnormal stool-based colon cancer screening test, is critical for quality improvement initiatives. However, manual chart review is time-consuming and c... read more 

Degradation-Aware and Structure-Preserving Diffusion for Real-World Image Super-Resolution

arXiv Apr 13, 2026
Real-world image super-resolution is particularly challenging for diffusion models because real degradations are complex, heterogeneous, and rarely modeled explicitly. We propose a degradation-aware and structure-preserving diffusion framework for re... read more 
Computer Vision and Pattern Recognition

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

arXiv Apr 13, 2026
This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal of this challenge was to develop detection models capable of distinguis... read more 
Computer Vision and Pattern Recognition

Anthropogenic Regional Adaptation in Multimodal Vision-Language Model

arXiv Apr 13, 2026
While the field of vision-language (VL) has achieved remarkable success in integrating visual and textual information across multiple languages and domains, there is still no dedicated framework for assessing human-centric alignment in vision-languag... read more 
Artificial Intelligence cs.CL cs.CV
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