Artificial Intelligence Medical Compendium

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

Showing 2,611 to 2,620 of 202,598 articles

Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study

arXiv Jun 4, 2026
Digital twins (DTs) allow the digitalization of road infrastructure inspection, though this is hindered by limited annotated data. This work exploits the relational nature of continuous asset condition monitoring to reformulate image-based defect det... read more 
Artificial Intelligence

EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models

arXiv Jun 4, 2026
Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretation, including lesion detection and report generation. However, their practical utility remains limited by insufficient sensitivity to subtle lesions,... read more 
Computer Vision and Pattern Recognition cs.AI

HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes

arXiv Jun 4, 2026
Indoor scene generation is crucial for robot simulation and modern interior design. However, complex layouts together with scarce 3D scene data make learning-based generation challenging. Existing methods often rely on hand-crafted rules or focus on ... read more 
Computer Vision and Pattern Recognition cs.AI

A Vision-language Framework for Comparative Reasoning in Radiology

arXiv Jun 4, 2026
Medical imaging artificial intelligence has achieved strong performance in isolated image interpretation, but remains poorly aligned with radiological practice, where diagnosis and follow-up rely on comparison across prior studies and analogous refer... read more 
Computer Vision and Pattern Recognition cs.IR cs.LG eess.IV

In-Context Multiple Instance Learning

arXiv Jun 4, 2026
Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of bags of instances and has been successfully applied in fields ranging from computational pathology to satellite imagery. Nevertheless, existing algorit... read more 
Machine Learning cs.AI cs.CV

Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators

arXiv Jun 4, 2026
While Vision-Language Models (VLMs) have shown strong visual reasoning capabilities, their spatial reasoning abilities remain largely constrained to the observed images and text-oriented chain-of-thought. They often struggle to infer unobserved layou... read more 
Computer Vision and Pattern Recognition

WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark

arXiv Jun 4, 2026
In real-world applications, models are expected to perform reliably across diverse settings. Yet, many existing multimodal benchmarks expand task types without capturing the visual diversity needed to handle open-ended visual inputs. We present World... read more 
Computer Vision and Pattern Recognition

Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training

arXiv Jun 4, 2026
Forward-Forward (FF) learning [Hinton, 2022] replaces backpropagation with strictly layer-local goodness updates. Recent FF-CNN work has narrowed the gap to BP on 32x32 benchmarks, raising the question of whether layer-local training is becoming a vi... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.NE

ErA: Error-Aware Deep Unrolling Network for Single Image Defocus Deblurring

arXiv Jun 4, 2026
We introduce ErA (Error-Aware Deep Unrolling Network), an end-to-end frame work for single-image defocus deblurring. ErA jointly learns a compact kerne basis and per-pixel weights, while an error-aware term in Augmented Lagrangian unrolling corrects ... read more 
Image and Video Processing cs.CV

Iterative AI-guided optimisation of selective triple-drug combinations for breast cancer

arXiv Jun 4, 2026
Personalised cancer therapy aims to tailor treatment to individual tumour profiles, yet tumour heterogeneity and adaptive resistance continue to limit clinical efficacy. Drug combinations offer a strategy to overcome resistance by simultaneously targ... read more 
Quantitative Methods
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