Artificial Intelligence Medical Compendium

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

Showing 25,131 to 25,140 of 217,472 articles

Toward Multimodal Conversational AI for Age-Related Macular Degeneration

arXiv Apr 28, 2026
Despite strong performance of deep learning models in retinal disease detection, most systems produce static predictions without clinical reasoning or interactive explanation. Recent advances in multimodal large language models (MLLMs) integrate diag... read more 
Computer Vision and Pattern Recognition cs.CL

Quantum-Inspired Robust and Scalable SAR Object Classification

arXiv Apr 28, 2026
SAR image classification naturally has to deal with huge noise and a high dynamic range particularly requiring robust classification models. Additionally, the deployment of these models on edge devices, such as drones and military aircraft, requires ... read more 
Quantum Physics cs.CV physics.comp-ph

Diverse Image Priors for Black-box Data-free Knowledge Distillation

arXiv Apr 28, 2026
Knowledge distillation (KD) represents a vital mechanism to transfer expertise from complex teacher networks to efficient student models. However, in decentralized or secure AI ecosystems, privacy regulations and proprietary interests often restrict ... read more 
Machine Learning cs.CV

Improving Diversity in Black-box Few-shot Knowledge Distillation

arXiv Apr 28, 2026
Knowledge distillation (KD) is a well-known technique to effectively compress a large network (teacher) to a smaller network (student) with little sacrifice in performance. However, most KD methods require a large training set and internal access to ... read more 
Computer Vision and Pattern Recognition cs.LG

Instruction-Evidence Contrastive Dual-Stream Decoding for Grounded Vision-Language Reasoning

arXiv Apr 28, 2026
Vision-Language Models (VLMs) exhibit strong performance in instruction following and open-ended vision-language reasoning, yet they frequently generate fluent outputs that are weakly grounded in visual evidence. Prior works have shown that instructi... read more 
Computer Vision and Pattern Recognition

Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures

arXiv Apr 28, 2026
Magnification shift is a major obstacle to robust histopathology classification, because models trained on one imaging scale often generalize poorly to another. Here, we evaluated this problem on the BreaKHis dataset using a strict patient-disjoint l... read more 
Computer Vision and Pattern Recognition stat.ML

TrialCalibre: A Fully Automated Causal Engine for RCT Benchmarking and Observational Trial Calibration

arXiv Apr 28, 2026
Real-world evidence (RWE) studies that emulate target trials increasingly inform regulatory and clinical decisions, yet residual, hard-to-quantify biases still limit their credibility. The recently proposed BenchExCal framework addresses this challen... read more 
Artificial Intelligence

G-Loss: Graph-Guided Fine-Tuning of Language Models

arXiv Apr 28, 2026
Traditional loss functions, including cross-entropy, contrastive, triplet, and su pervised contrastive losses, used for fine-tuning pre-trained language models such as BERT, operate only within local neighborhoods and fail to account for the global s... read more 
Computation and Language cs.AI cs.LG

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
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