Artificial Intelligence Medical Compendium

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

Showing 18,781 to 18,790 of 214,544 articles

GeoVista: Visually Grounded Active Perception for Ultra-High-Resolution Remote Sensing Understanding

arXiv May 14, 2026
Interpreting ultra-high-resolution (UHR) remote sensing images requires models to search for sparse and tiny visual evidence across large-scale scenes. Existing remote sensing vision-language models can inspect local regions with zooming and cropping... read more 
Computer Vision and Pattern Recognition

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection

arXiv May 14, 2026
As the misuse of AI-generated images grows, generalizable image detection techniques are urgently needed. Recent state-of-the-art (SOTA) methods adopt aligned training datasets to reduce content, size, and format biases, empowering models to capture ... read more 
Computer Vision and Pattern Recognition

From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper

arXiv May 14, 2026
In multi-view 3D human pose estimation, models typically rely on images captured simultaneously from different camera views to predict a pose at a specific moment. While providing accurate spatial information, this traditional approach often overlook... read more 
Computer Vision and Pattern Recognition

PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification

arXiv May 13, 2026
Automated analysis of peripheral blood smears for Acute Lymphoblastic Leukemia (ALL) is hindered by low contrast and substantial variability in cytoplasmic appearance, which complicate conventional membrane-based segmentation. We found that many rece... read more 
Computer Vision and Pattern Recognition cs.AI

Prediction of Rectal Cancer Regrowth from Longitudinal Endoscopy

arXiv May 13, 2026
Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal cancer showing a complete or near clinical response (CR) directly after treatment (restaging). However, there are no objectively accurate methods to ... read more 
Computer Vision and Pattern Recognition

Blood biomarker trajectories in ICU-directed prediction models - A scoping review.

The EPMA journal May 13, 2026
BACKGROUND: Despite advanced analytical methods and increasing data availability, most intensive care unit (ICU) prediction models rely on static measurements. However, longitudinal monitoring of biomarkers may better capture disease progression and ... read more 

Automatic multiple sclerosis lesion segmentation in the spinal cord using 3 T and 7 T MP2RAGE images.

Multiple sclerosis and related disorders May 13, 2026
PURPOSE: To develop a deep learning-based fully automated framework for segmenting multiple sclerosis (MS) lesions in the spinal cord (SC) using images derived from MP2RAGE acquisitions. MATERIALS AND METHODS: This retrospective multicenter study inc... read more 

Smarter FoCUS: AI-guided focused cardiac ultrasound enables novice detection of left ventricular dysfunction.

European heart journal. Digital health May 13, 2026
AIMS: Heart failure is prevalent; however, there is no cost-effective screening option. Against formal echocardiography, we assessed the diagnostic performance of focused cardiac ultrasound (FoCUS), performed by novice users guided and interpreted by... read more 

Molecular arms race classifier for decrypting venom peptide and ion channel interactions.

Digital discovery May 13, 2026
Animal venoms comprise an astonishing number of peptides, proteins and small molecules. The diversity of venom compounds arises from evolutionary adaptations resulting in both offensive and defensive traits in predators and prey alike. This concept, ... read more 

Site-specific post-translational modification detection by polar charged engineered MspA nanopores.

Chemical science May 13, 2026
Deciphering the complex chemical code of post-translational modifications (PTMs) is fundamental to proteomics but remains challenging due to the low abundance of modified proteins and the difficulty in resolving isobaric positional isomers. Conventio... read more 
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