Artificial Intelligence Medical Compendium

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

Showing 30,161 to 30,170 of 220,100 articles

AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection

arXiv Apr 17, 2026
As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a crucial paradigm. However, existing methods typically rely on data replay or coarse binary supervision, which fails to explicitly constrain the f... read more 
Computer Vision and Pattern Recognition cs.AI

OT on the Map: Quantifying Domain Shifts in Geographic Space

arXiv Apr 17, 2026
In computer vision and machine learning for geographic data, out-of-domain generalization is a pervasive challenge, arising from uneven global data coverage and distribution shifts across geographic regions. Though models are frequently trained in on... read more 
Machine Learning

Dental Panoramic Radiograph Analysis Using YOLO26 From Tooth Detection to Disease Diagnosis

arXiv Apr 17, 2026
Panoramic radiography is a fundamental diagnostic tool in dentistry, offering a comprehensive view of the entire dentition with minimal radiation exposure. However, manual interpretation is time-consuming and prone to errors, especially in high-volum... read more 
Computer Vision and Pattern Recognition

A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection

arXiv Apr 17, 2026
Academic integrity continues to face the persistent challenge of examination cheating. Traditional invigilation relies on human observation, which is inefficient, costly, and prone to errors at scale. Although some existing AI-powered monitoring syst... read more 
Computer Vision and Pattern Recognition cs.AI

Where Do Vision-Language Models Fail? World Scale Analysis for Image Geolocalization

arXiv Apr 17, 2026
Image geolocalization has traditionally been addressed through retrieval-based place recognition or geometry-based visual localization pipelines. Recent advances in Vision-Language Models (VLMs) have demonstrated strong zero-shot reasoning capabiliti... read more 
Computer Vision and Pattern Recognition

Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap

arXiv Apr 17, 2026
Reasoning in vision-language models (VLMs) has recently attracted significant attention due to its broad applicability across diverse downstream tasks. However, it remains unclear whether the superior performance of VLMs stems from genuine vision-gro... read more 
Computer Vision and Pattern Recognition cs.CL

Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image Enhancement

arXiv Apr 17, 2026
Underwater images often suffer from severe degradation, such as color distortion, low contrast, and blurred details, due to light absorption and scattering in water. While learning-based methods like CNNs and Transformers have shown promise, they fac... read more 
Computer Vision and Pattern Recognition

Enhancing Hazy Wildlife Imagery: AnimalHaze3k and IncepDehazeGan

arXiv Apr 17, 2026
Atmospheric haze significantly degrades wildlife imagery, impeding computer vision applications critical for conservation, such as animal detection, tracking, and behavior analysis. To address this challenge, we introduce AnimalHaze3k a synthetic dat... read more 
Computer Vision and Pattern Recognition

A novel optically gated thin-film transistor sensor for real-time chemical differentiation using machine-learning analysis.

Biosensors & bioelectronics: X Apr 17, 2026
We present an optically gated thin-film transistor sensor that distinguishes chemicals through illumination-induced transient electrical responses. The device consists of a p-type silicon substrate with native oxide and an amorphous Ge2Se3 photogatin... read more 

Predicting protein-nucleic acid interactions via protein language models with biophysical and evolutionary priors.

iScience Apr 17, 2026
Protein interactions with nucleic acids are fundamental to numerous biological processes. Here, we present PNABPred, a multi-modal framework that integrates biophysical and evolutionary priors into a protein language model to predict protein-nucleic ... read more 
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