Artificial Intelligence Medical Compendium

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

Showing 49,921 to 49,930 of 224,814 articles

Evaluating image upsampling strategies for downstream microscopy image classification

bioRxiv Feb 16, 2026
Microscopy images are frequently downsampled due to acquisition and computational constraints, requiring reconstruction before downstream analysis. While super-resolution (SR) is typically assessed using pixel-level fidelity metrics, its impact on de... read more 
cell biology

Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta

bioRxiv Feb 16, 2026
Cryogenic electron microscopy (cryo EM) has become a widely used technique for determining the three-dimensional structures of biological macromolecules. Despite its advantages, building accurate structural models from cryo EM data remains challengin... read more 
bioinformatics

Multi-agent reasoning enables predictive design of living materials

bioRxiv Feb 16, 2026
Living materials derive function from tightly coupled cellular and material processes to deliver adaptive and therapeutic capabilities, yet their predictive design remains constrained by fragmented, cross-disciplinary knowledge and experience-driven ... read more 
biochemistry

Hierarchical Signatures of Language in the Human Brain

bioRxiv Feb 16, 2026
Language relies on a hierarchy of sensory and cognitive processes, yet how different levels of this hierarchy are supported by distinct neural architectures remains unclear. Here we show that semantic processing, compared with phonological processing... read more 
neuroscience

A Lightweight Dual-Attention Neural Network for In-Situ Hyperspectral Classification of Microalgae

bioRxiv Feb 16, 2026
Accurate monitoring of microalgae is essential for assessing marine ecological health and preventing harmful algal blooms in ocean engineering. Current in situ identification methods often suffer from limited discriminative feature extraction and ina... read more 
microbiology

Machine learning-based framework for predicting human infection potential of coronavirus associated with tri-amino acid motifs, KIQ and LEP in spike protein

bioRxiv Feb 16, 2026
Assessing the human infection potential of emerging coronaviruses remains a critical challenge for global health preparedness. In this study, we developed a machine learning-based framework to predict the human infection potential of coronaviruses an... read more 
bioinformatics

Prediction of Left Atrial Volume Parameters from Resting ECGs and Tabular Data Using Deep Learning in the UK Biobank

medRxiv Feb 16, 2026
We present a deep learning model that predicts left atrial (LA) volume from standard 12-lead ECG recordings and basic patient data. This approach offers a low-cost, scalable alternative to MRI-based LA volume measurement, which remains the clinical g... read more 
cardiovascular medicine

Parsing Neurometabolic Signatures of Multiple Sclerosis with MRSI and cPCA

medRxiv Feb 16, 2026
Magnetic Resonance Spectroscopy Imaging (MRSI) offers spatially-resolved, neurometabolic information, acquired non-invasively at whole-brain scales from human subjects. Analysis of MRSI however, is extremely challenging. The metabolic information is ... read more 
radiology and imaging

Representation Before Retrieval: Structured Patient Artifacts Reduce Hallucination in Clinical AI Systems

medRxiv Feb 16, 2026
Background: Large language models show promise for clinical decision support, yet their propensity for hallucination--generating plausible but unsupported claims--poses substantial patient safety risks. Retrieval-augmented generation (RAG) is widely ... read more 
health informatics

Biomarker Identification in Pancreatic Cancer Through Concordant Differential Expression and Interpretable Machine Learning Analyses

medRxiv Feb 16, 2026
Background: Pancreatic ductal adenocarcinoma is one of the most aggressive and lethal malignancies of the gastrointestinal tract. The poor prognosis is largely attributed to late-stage diagnosis, pronounced tumor heterogeneity, and limited therapeuti... read more 
oncology
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