Artificial Intelligence Medical Compendium

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

Showing 25,211 to 25,220 of 217,759 articles

QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding

arXiv Apr 28, 2026
Quantum computing calibration depends on interpreting experimental data, and calibration plots provide the most universal human-readable representation for this task, yet no systematic evaluation exists of how well vision-language models (VLMs) inter... read more 
Quantum Physics cs.CV

Robust Deepfake Detection: Mitigating Spatial Attention Drift via Calibrated Complementary Ensembles

arXiv Apr 28, 2026
Current deepfake detection models achieve state-of-the-art performance on pristine academic datasets but suffer severe spatial attention drift under real-world compound degradations, such as blurring and severe lossy compression. To address this vuln... read more 
Computer Vision and Pattern Recognition

Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification

arXiv Apr 28, 2026
Viruses represent the most abundant biological entities on Earth and play a pivotal role in microbial ecosystems, yet, as prominent human pathogens, they are closely linked to human morbidity and mortality. Accurate identification of viral sequences ... read more 
Databases cs.LG

Correcting Performance Estimation Bias in Imbalanced Classification with Minority Subconcepts

arXiv Apr 28, 2026
Class-level evaluation can conceal substantial performance disparities across subconcepts within the same class, causing models that perform well on average to fail on specific subpopulations. Prior work has shown that common evaluation measures for ... read more 
Machine Learning cs.AI

Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

arXiv Apr 28, 2026
Federated learning is a machine learning paradigm in which multiple devices collaboratively train a model under the supervision of a central server while ensuring data privacy. However, its performance is often hindered by redundant, malicious, or ab... read more 
Computer Vision and Pattern Recognition cs.LG

MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification

arXiv Apr 28, 2026
Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing detailed, continuous spectral information. The strong performance of recen... read more 
Computer Vision and Pattern Recognition

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance

arXiv Apr 28, 2026
Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resection while preserving functional brain tissue. Fluorescence lifetime imaging (FLIm) offers real-time, label-free biochemical contrast, but its clinical u... read more 
Computer Vision and Pattern Recognition cs.AI

Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection

arXiv Apr 28, 2026
Domain shift, where deviations between training and deployment data distributions degrade model performance, is a key challenge in underwater environments. Existing benchmarks testing performance for underwater domain shift simulate variability throu... read more 
Computer Vision and Pattern Recognition cs.LG cs.RO

Deep learning for discriminating cochlear malformations on temporal bone CT.

Brazilian journal of otorhinolaryngology Apr 28, 2026
OBJECTIVES: Diagnosis of cochlear malformation on temporal bone CT images is often difficult because the imaging findings are frequently subtle. Our aim was to assess the utility of deep learning analysis in diagnosing cochlear malformation on tempor... read more 

From generation to validation: Deep generative models for antimicrobial peptide discovery.

Current opinion in chemical biology Apr 28, 2026
The global escalation of antibiotic resistance has renewed interest in antimicrobial peptides (AMPs) as promising alternatives to conventional antibiotics. Although extensive experimental evidence supports their effectiveness against drug-resistant p... read more 
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