Artificial Intelligence Medical Compendium

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

Showing 26,841 to 26,850 of 218,283 articles

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction

arXiv Apr 23, 2026
Computed Tomography (CT) is a widely used imaging modality in medical and industrial applications. To limit radiation exposure and measurement time, there is a growing interest in sparse-view CT, where the number of projection views is significantly ... read more 
Image and Video Processing cs.CV cs.LG

Conditional anomaly detection using soft harmonic functions: An application to clinical alerting

arXiv Apr 23, 2026
Timely detection of concerning events is an important problem in clinical practice. In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response, such as the omission of an impo... read more 
Machine Learning

Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics

arXiv Apr 23, 2026
Anti-doping programs rely on biological testing to detect performance-enhancing drugs, but such testing costs over $800 per sample and is limited by short detection windows for many prohibited substances. These constraints leave large portions of ath... read more 
Machine Learning cs.CY

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

arXiv Apr 23, 2026
This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-design of transformer blocks with an optimization pipeline that reduces computational and memory req... read more 
Machine Learning cs.AI cs.AR cs.NE cs.RO

Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation

arXiv Apr 23, 2026
Small language models (1-3B) are practical to run locally, but individually limited on harder code generation tasks. We ask whether composing them into pipelines can recover some of that lost capability. We study code generation pipelines built from ... read more 
Software Engineering cs.AI cs.LG

An autonomous LLM agent platform for computational binder design and conjugation-aware prioritization of antibody drug conjugates

bioRxiv Apr 23, 2026
Large language model (LLM) agents have automated tool use in chemistry, but orchestrating multi step computational biology workflows spanning structure prediction, protein design, and covalent conjugation remains manually intensive. Here we present O... read more 
bioinformatics

Glio-SERS: Label-Free Molecular Profiling of Plasma Extracellular Vesicles in Brain Tumors Using SERS and Artificial Intelligence

bioRxiv Apr 23, 2026
Extracellular vesicles are increasingly recognized as important carriers of disease-associated molecular information, yet robust methods for their isolation and molecular characterization from limited clinical samples remain challenging. Here, we pre... read more 
bioengineering

Assessing medication-related burden and medication adherence among older patients from Central Nepal: A machine learning approach

medRxiv Apr 23, 2026
We are pleased to submit our Original article entitled "Assessing medication-related burden and medication adherence among older patients from Central Nepal: A machine learning approach" for consideration in your esteemed journal. In this paper, we a... read more 
geriatric medicine

Dissecting clinical reasoning failures in frontier artificial intelligence using 10,000 synthetic cases

medRxiv Apr 23, 2026
Background: Current medical large language model (LLM) evaluations largely rely on small collections of cases, whereas rigorous safety testing requires large-scale, diverse, and complex cases with verifiable ground truth. Multiple Sclerosis (MS) prov... read more 
neurology

Recovering Clinical Detail in AI-Generated Responses for Low Back Pain Through Prompt Design

medRxiv Apr 23, 2026
Introduction Large language models are increasingly being used in healthcare. In interventional pain medicine, clinical reasoning is essential for procedural planning. Prior studies show that simplified prompts reduce clinical detail in AI-generated ... read more 
pain medicine
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