Artificial Intelligence Medical Compendium

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

Showing 58,021 to 58,030 of 227,388 articles

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health records

medRxiv Jan 25, 2026
Objective Accurate and scalable disease phenotyping from electronic health records (EHRs) is foundational for predictive modeling and precision medicine. Traditional rule- and keyword-based approaches are limited by inconsistent documentation and ina... read more 
health informatics

A Hybrid Rule-Based and Deep Learning Framework for Ventilator Waveform Segmentation and Delineation

medRxiv Jan 25, 2026
Accurate assessment of patient-ventilator interaction is critical for optimizing respiratory support and detecting harmful dyssynchronies linked to adverse outcomes, including ventilator-induced lung injury and prolonged ICU stays. This requires prec... read more 
respiratory medicine

Microbiome-Based Modeling of CAR-T Therapy Response in Lymphoma: Insights From Shotgun Metagenomics Sequencing.

European journal of haematology Jan 25, 2026
The interplay between the commensal microbiota and the mammalian immune system may influence the outcomes of T cell-driven cancer immunotherapies. However, clinical studies supporting microbiota-based interventions in chimeric antigen receptor T-cell... read more 

Comprehensive Curation and Harmonization of Small-Molecule MS/MS Libraries in Spectraverse.

Analytical chemistry Jan 25, 2026
Reference libraries of tandem mass spectra (MS/MS) are widely used for metabolite identification in untargeted metabolomics and to train machine-learning models for metabolite annotation. However, public spectral libraries are scattered across dispar... read more 

Brain-Inspired Reservoir Computing with Dynamic Memristors for Audio-Visual Emotion Recognition.

ACS applied materials & interfaces Jan 25, 2026
The rapid growth of edge artificial intelligence (AI) and the escalating computational demands of multimodal perception systems accentuate the bottlenecks of von Neumann architecture and the high costs of training. Therefore, to streamline system con... read more 

Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation

arXiv Jan 25, 2026
Segmenting curvilinear structures in medical images is essential for analyzing morphological patterns in clinical applications. Integrating topological properties, such as connectivity, improves segmentation accuracy and consistency. However, extract... read more 
Computer Vision and Pattern Recognition cs.AI

Multimodal Machine Learning for Soft High-k Elastomers under Data Scarcity

arXiv Jan 25, 2026
Dielectric materials are critical building blocks for modern electronics such as sensors, actuators, and transistors. With the rapid recent advance in soft and stretchable electronics for emerging human- and robot-interfacing applications, there is a... read more 
Machine Learning cond-mat.mtrl-sci

MlPET: A Localized Neural Network Approach for Probabilistic Post-Reconstruction PET Image Analysis Using Informed Priors

arXiv Jan 25, 2026
We develop and evaluate MlPET, a fast localized machine learning approach for probabilistic PET image analysis addressing the noise-resolution trade-off in conventional reconstructions. MlPET replaces computationally demanding Markov chain Monte Carl... read more 
Medical Physics cs.LG

Strip-Fusion: Spatiotemporal Fusion for Multispectral Pedestrian Detection

arXiv Jan 25, 2026
Pedestrian detection is a critical task in robot perception. Multispectral modalities (visible light and thermal) can boost pedestrian detection performance by providing complementary visual information. Several gaps remain with multispectral pedestr... read more 
Computer Vision and Pattern Recognition

MorphXAI: An Explainable Framework for Morphological Analysis of Parasites in Blood Smear Images

arXiv Jan 25, 2026
Parasitic infections remain a pressing global health challenge, particularly in low-resource settings where diagnosis still depends on labor-intensive manual inspection of blood smears and the availability of expert domain knowledge. While deep learn... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals