Artificial Intelligence Medical Compendium

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

Showing 58,891 to 58,900 of 227,876 articles

LambNet-T: A lightweight path-conditional transformer autoencoder for temperature-aware baseline learning in Lamb-wave SHM.

Ultrasonics Jan 23, 2026
Reliable Lamb-wave-based Structural Health Monitoring (SHM) depends on accurate baseline selection under varying temperatures. This study presents LambNet-T, a lightweight path-conditional Transformer-based autoencoder for temperature-aware baseline ... read more 

Imidazole functionalized nanozyme for deep detoxification and machine-learning-assisted intelligent sensing of profenofos.

Biosensors & bioelectronics Jan 23, 2026
The excessive use of profenofos (PF) poses a significant threat to ecosystems and human health, making efficient degradation and detection technologies imperative. Despite the evident promise of nanozyme-based cascade catalytic systems, integrating s... read more 

Derivation and validation of a clinical prediction score for ICU utilization at trauma intake.

The American journal of emergency medicine Jan 23, 2026
BACKGROUND: Delayed admission to the intensive care unit (ICU) after trauma can lead to tripling of in-hospital mortality. Accurate ICU resource prediction at initial trauma assessment can help appropriately target resources and transfers for these p... read more 

LMSA-net: a lightweight multi-scale attention network for eeg-based emotion recognition.

Biomedical physics & engineering express Jan 23, 2026
Electroencephalogram (EEG)-based emotion recognition holds great potential in affective computing, mental health assessment, and human-computer interaction. However, EEG signals are non-stationary, noisy, and composed of multiple frequency bands, mak... read more 

PolyAgent: Large Language Model Agent for Polymer Design

arXiv Jan 23, 2026
On-demand Polymer discovery is essential for various industries, ranging from biomedical to reinforcement materials. Experiments with polymers have a long trial-and-error process, leading to long procedures and extensive resources. For these processe... read more 
Computation and Language

VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection

arXiv Jan 23, 2026
Few-Shot Anomaly Detection (FSAD) has emerged as a critical paradigm for identifying irregularities using scarce normal references. While recent methods have integrated textual semantics to complement visual data, they predominantly rely on features ... read more 
Computer Vision and Pattern Recognition

On The Robustness of Foundational 3D Medical Image Segmentation Models Against Imprecise Visual Prompts

arXiv Jan 23, 2026
While 3D foundational models have shown promise for promptable segmentation of medical volumes, their robustness to imprecise prompts remains under-explored. In this work, we aim to address this gap by systematically studying the effect of various co... read more 
Image and Video Processing cs.CV

Reasoning-Enhanced Rare-Event Prediction with Balanced Outcome Correction

arXiv Jan 23, 2026
Rare-event prediction is critical in domains such as healthcare, finance, reliability engineering, customer support, aviation safety, where positive outcomes are infrequent yet potentially catastrophic. Extreme class imbalance biases conventional mod... read more 
Machine Learning cs.AI

A Cosine Network for Image Super-Resolution

arXiv Jan 23, 2026
Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiveness of the obtained structural information is important in image sup... read more 
Computer Vision and Pattern Recognition

PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning

arXiv Jan 23, 2026
Difficulty replicating baselines, high computational costs, and required domain expertise create persistent barriers to clinical AI research. To address these challenges, we introduce PyHealth 2.0, an enhanced clinical deep learning toolkit that enab... read more 
Machine Learning cs.AI
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