Artificial Intelligence Medical Compendium

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

Showing 41,551 to 41,560 of 223,853 articles

A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems

arXiv Mar 16, 2026
Reliable photovoltaic (PV) power generation requires timely detection of module defects that may reduce energy yield, accelerate degradation, and increase lifecycle operation and maintenance costs during field operation. Electroluminescence (EL) imag... read more 
Artificial Intelligence

IgPose: A Generative Data-Augmented Pipeline for Robust Immunoglobulin-Antigen Binding Prediction

arXiv Mar 16, 2026
Predicting immunoglobulin-antigen (Ig-Ag) binding remains a significant challenge due to the paucity of experimentally-resolved complexes and the limited accuracy of de novo Ig structure prediction. We introduce IgPose, a generalizable framework for ... read more 
Machine Learning cs.AI

Seismic full-waveform inversion based on a physics-driven generative adversarial network

arXiv Mar 16, 2026
Objectives: Full-waveform inversion (FWI) is a high-resolution geophysical imaging technique that reconstructs subsurface velocity models by iteratively minimizing the misfit between predicted and observed seismic data. However, under complex geologi... read more 
Machine Learning cs.AI

RealVLG-R1: A Large-Scale Real-World Visual-Language Grounding Benchmark for Robotic Perception and Manipulation

arXiv Mar 16, 2026
Visual-language grounding aims to establish semantic correspondences between natural language and visual entities, enabling models to accurately identify and localize target objects based on textual instructions. Existing VLG approaches focus on coar... read more 
Computer Vision and Pattern Recognition

SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras

arXiv Mar 16, 2026
RAW images preserve superior fidelity and rich scene information compared to RGB, making them essential for tasks in challenging imaging conditions. To alleviate the high cost of data collection, recent RGB-to-RAW conversion methods aim to synthesize... read more 
Computer Vision and Pattern Recognition

PASTE: Physics-Aware Scattering Topology Embedding Framework for SAR Object Detection

arXiv Mar 16, 2026
Current deep learning-based object detection for Synthetic Aperture Radar (SAR) imagery mainly adopts optical image methods, treating targets as texture patches while ignoring inherent electromagnetic scattering mechanisms. Though scattering points h... read more 
Computer Vision and Pattern Recognition

Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations

arXiv Mar 16, 2026
Trust and ethical concerns due to the widespread deployment of opaque machine learning (ML) models motivating the need for reliable model explanations. Post-hoc model-agnostic explanation methods addresses this challenge by learning a surrogate model... read more 
Machine Learning cs.AI stat.ML

Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations

arXiv Mar 16, 2026
Trust and ethical concerns due to the widespread deployment of opaque machine learning (ML) models motivating the need for reliable model explanations. Post-hoc model-agnostic explanation methods addresses this challenge by learning a surrogate model... read more 
Machine Learning cs.AI stat.ML

BiTro: Bidirectional Transfer Learning Enhances Bulk and Spatial Transcriptomics Prediction in Cancer Pathological Images

arXiv Mar 16, 2026
Cancer pathological analysis requires modeling tumor heterogeneity across multiple modalities, primarily through transcriptomics and whole slide imaging (WSI), along with their spatial relations. On one hand, bulk transcriptomics and WSI images are l... read more 
Machine Learning

Machine learning for sustainable geoenergy: uncertainty, physics and decision-ready inference

arXiv Mar 16, 2026
Geoenergy projects (CO2 storage, geothermal, subsurface H2 generation/storage, critical minerals from subsurface fluids, or nuclear waste disposal) increasingly follow a petroleum-style funnel from screening and appraisal to operations, monitoring, a... read more 
Disordered Systems and Neural Networks cs.LG
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