Artificial Intelligence Medical Compendium

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

Showing 43,791 to 43,800 of 224,055 articles

Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning

arXiv Mar 9, 2026
This paper introduces a synthetic benchmark to evaluate the performance of vision language models (VLMs) in generating plant simulation configurations for digital twins. While functional-structural plant models (FSPMs) are useful tools for simulating... read more 
Computer Vision and Pattern Recognition cs.AI

PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration

arXiv Mar 9, 2026
Pathology underpins modern diagnosis and cancer care, yet its most valuable asset, the accumulated experience encoded in millions of narrative reports, remains largely inaccessible. Although institutions are rapidly digitizing pathology workflows, st... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.DL cs.IR

BiCLIP: Domain Canonicalization via Structured Geometric Transformation

arXiv Mar 9, 2026
Recent advances in vision-language models (VLMs) have demonstrated remarkable zero-shot capabilities, yet adapting these models to specialized domains remains a significant challenge. Building on recent theoretical insights suggesting that independen... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led Alignment

arXiv Mar 9, 2026
Recent advances in medical large language models have explored Test-Time Reinforcement Learning (TTRL) to enhance reasoning. However, standard TTRL often relies on majority voting (MV) as a heuristic supervision signal, which can be unreliable in com... read more 
Machine Learning

The Coupling Within: Flow Matching via Distilled Normalizing Flows

arXiv Mar 9, 2026
Flow models have rapidly become the go-to method for training and deploying large-scale generators, owing their success to inference-time flexibility via adjustable integration steps. A crucial ingredient in flow training is the choice of coupling me... read more 
Machine Learning cs.CV

An accurate flatness measure to estimate the generalization performance of CNN models

arXiv Mar 9, 2026
Flatness measures based on the spectrum or the trace of the Hessian of the loss are widely used as proxies for the generalization ability of deep networks. However, most existing definitions are either tailored to fully connected architectures, relyi... read more 
Machine Learning cs.CV cs.NE

Research on a Method for Identification of Chinese Rose Leaf Pests and Diseases Based on a Lightweight CR-YOLO Model.

Plant disease Mar 9, 2026
Accurate and rapid detection of pests and diseases on Chinese rose leaves is crucial for horticultural management and production quality. Despite advances in detection methods, challenges such as complex backgrounds, variable lighting conditions, and... read more 

Structured Schemas for LLM-Modeler Collaboration in Quantitative Systems Pharmacology Model Calibration

bioRxiv Mar 9, 2026
Quantitative systems pharmacology (QSP) models require calibration data from published literature, yet manual curation produces inconsistent documentation while large language model (LLM) extraction exhibits hallucination and fabrication errors unacc... read more 
systems biology

Exploring sex-related Biases in Deep Learning Models for Motor Imagery Brain-Computer Interfaces

bioRxiv Mar 9, 2026
Motor imagery (MI) brain-computer interfaces (BCIs) are promising technologies for neurorehabilitation. In this context, deep learning (DL) models are increasingly being used to decode the mental imagination of movement. However, countless studies ac... read more 
neuroscience

A minimal transcriptomic signature predicts intravascular tumor extension in renal cell carcinoma

bioRxiv Mar 9, 2026
Renal cell carcinoma (RCC) with venous tumor thrombus, termed renal intravascular tumor extension (RITE), is associated with aggressive behavior and poor clinical outcomes. Yet, its underlying molecular determinants remain incompletely defined. We an... read more 
cancer biology
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