Artificial Intelligence Medical Compendium

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

Showing 31,461 to 31,470 of 220,544 articles

GeoLink: A 3D-Aware Framework Towards Better Generalization in Cross-View Geo-Localization

arXiv Apr 14, 2026
Generalizable cross-view geo-localization aims to match the same location across views in unseen regions and conditions without GPS supervision. Its core difficulty lies in severe semantic inconsistency caused by viewpoint variation and poor generali... read more 
Computer Vision and Pattern Recognition cs.MM

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

arXiv Apr 14, 2026
Unsafe surgical care is a critical health concern, often linked to limitations in surgeon experience, skills, and situational awareness. Integrating patient-specific 3D models into the surgical field can enhance visualization, provide real-time anato... read more 
Computer Vision and Pattern Recognition

Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG)

arXiv Apr 14, 2026
Reliable evaluation of blastocyst quality is critical for the success of in vitro fertilization (IVF) treatments. Current embryo grading practices primarily rely on visual assessment of morphological features, which introduces subjectivity, inter-emb... read more 
Computer Vision and Pattern Recognition cs.AI

Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing

arXiv Apr 14, 2026
Causal representation learning (CRL) aims to identify the underlying latent variables from high-dimensional observations, even when variables are dependent with each other. We study this problem for latent variables that follow a potentially degenera... read more 
Machine Learning cs.AI cs.LG math.ST

Neural 3D Reconstruction of Planetary Surfaces from Descent-Phase Wide-Angle Imagery

arXiv Apr 14, 2026
Digital elevation modeling of planetary surfaces is essential for studying past and ongoing geological processes. Wide-angle imagery acquired during spacecraft descent promises to offer a low-cost option for high-resolution terrain reconstruction. Ho... read more 
Computer Vision and Pattern Recognition

SemiFA: An Agentic Multi-Modal Framework for Autonomous Semiconductor Failure Analysis Report Generation

arXiv Apr 14, 2026
Semiconductor failure analysis (FA) requires engineers to examine inspection images, correlate equipment telemetry, consult historical defect records, and write structured reports, a process that can consume several hours of expert time per case. We ... read more 
Computer Vision and Pattern Recognition cs.AI eess.IV

Analog Optical Inference on Million-Record Mortgage Data

arXiv Apr 14, 2026
Analog optical computers promise large efficiency gains for machine learning inference, yet no demonstration has moved beyond small-scale image benchmarks. We benchmark the analog optical computer (AOC) digital twin on mortgage approval classificatio... read more 
Machine Learning cs.ET cs.NE

Rethinking Uncertainty in Segmentation: From Estimation to Decision

arXiv Apr 14, 2026
In medical image segmentation, uncertainty estimates are often reported but rarely used to guide decisions. We study the missing step: how uncertainty maps are converted into actionable policies such as accepting, flagging, or deferring predictions. ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Indexing Multimodal Language Models for Large-scale Image Retrieval

arXiv Apr 14, 2026
Multimodal Large Language Models (MLLMs) have demonstrated strong cross-modal reasoning capabilities, yet their potential for vision-only tasks remains underexplored. We investigate MLLMs as training-free similarity estimators for instance-level imag... read more 
Computer Vision and Pattern Recognition cs.CL cs.IR

Explainable Fall Detection for Elderly Care via Temporally Stable SHAP in Skeleton-Based Human Activity Recognition

arXiv Apr 14, 2026
Fall detection in elderly care requires not only accurate classification but also reliable explanations that clinicians can trust. However, existing post-hoc explainability methods, when applied frame-by-frame to sequential data, produce temporally u... read more 
Computer Vision and Pattern Recognition cs.AI
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