Artificial Intelligence Medical Compendium

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

Showing 25,201 to 25,210 of 217,759 articles

Exploring Remote Photoplethysmography for Neonatal Pain Detection from Facial Videos

arXiv Apr 28, 2026
Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and physiological... read more 
Computer Vision and Pattern Recognition eess.IV

Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment

arXiv Apr 28, 2026
Foundation segmentation models such as the Segment Anything Model (SAM) have demonstrated strong generalization across natural images; however, their robustness under clinically realistic medical imaging domain shifts remains insufficiently quantifie... read more 
Image and Video Processing cs.CV

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
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