Artificial Intelligence Medical Compendium

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

Showing 27,301 to 27,310 of 218,763 articles

FLARE-BO: Fused Luminance and Adaptive Retinex Enhancement via Bayesian Optimisation for Low-Light Robotic Vision

arXiv Apr 23, 2026
Reliable visual perception under low illumination remains a core challenge for autonomous robotic systems, where degraded image quality directly compromises navigation, inspection, and various operations. A recent training free approach showed that B... read more 
Computer Vision and Pattern Recognition eess.IV

Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake

arXiv Apr 23, 2026
Psychiatric intake is a sequential, high-stakes information-gathering process in which clinicians must decide what to ask, in what order, and how to interpret incomplete or ambiguous responses under limited time. Despite growing interest in conversat... read more 
Computation and Language cs.AI

Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores

arXiv Apr 23, 2026
Large language models (LLMs) are increasingly utilized in clinical reasoning and risk assessment. However, their interpretive reliability in critical and indeterminate domains such as psychiatry remains unclear. Prior work has identified algorithmic ... read more 
Machine Learning cs.AI

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching

arXiv Apr 23, 2026
Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility criteria, posing significant challenges for scalability, generalization, and computational efficiency. Existing approaches eit... read more 
Computation and Language cs.AI cs.LG

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers

arXiv Apr 23, 2026
Feature attribution methods explain the predictions of deep neural networks by assigning importance scores to individual input features. However, most existing methods focus solely on marginal effects, overlooking feature interactions, where groups o... read more 
Computer Vision and Pattern Recognition cs.AI

EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms

arXiv Apr 23, 2026
This paper introduces EgoMAGIC (Medical Assistance, Guidance, Instruction, and Correction), an egocentric medical activity dataset collected as part of DARPA's Perceptually-enabled Task Guidance (PTG) program. This dataset comprises 3,355 videos of 5... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Kernel Contracts: A Specification Language for ML Kernel Correctness Across Heterogeneous Silicon

arXiv Apr 23, 2026
Every ML kernel ships with an implicit contract about what it computes. People rarely write the contract down. When two kernels disagree -- when a matmul on AMD produces a different gradient than the same matmul on NVIDIA, when a fused attention kern... read more 
Machine Learning cs.PL

Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

arXiv Apr 23, 2026
Several brain foundation models (FM) have recently been proposed to predict brain disorders by modelling dynamic functional connectivity (FC). While they demonstrate remarkable model performance and zero- or few-shot generalization, the salient featu... read more 
Neurons and Cognition cs.AI cs.LG eess.SP

Soft Anisotropic Diagrams for Differentiable Image Representation

arXiv Apr 23, 2026
We introduce Soft Anisotropic Diagrams (SAD), an explicit and differentiable image representation parameterized by a set of adaptive sites in the image plane. In SAD, each site specifies an anisotropic metric and an additively weighted distance score... read more 
Computer Vision and Pattern Recognition

Forecasting Solar Energy Using a Single Image

arXiv Apr 23, 2026
Solar panels are increasingly deployed in cities on rooftops, walls, and urban infrastructure. Although the panel costs have fallen in recent years, the soft costs of installing them have not. These soft costs include assessing the illumination (irra... read more 
Computer Vision and Pattern Recognition
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