Artificial Intelligence Medical Compendium

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

Showing 42,221 to 42,230 of 223,853 articles

Eukaryotic MAGs recovered from deep metagenomic sequencing of the seagrass, Zostera marina, include a novel chytrid in the order Lobulomycetales

bioRxiv Mar 12, 2026
Fungi play pivotal roles in terrestrial ecosystems as decomposers, pathogens, and endophytes, yet their significance in marine environments is often understudied. Seagrasses, as globally distributed marine flowering plants, have critical ecological f... read more 
microbiology

Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman Spectroscopy and AI

bioRxiv Mar 12, 2026
Identifying predictive biomarkers of immunotherapeutic response in melanoma remains an outstanding challenge. Existing transcriptomic and proteomic profiling methods of the tumor-immune microenvironment are costly and may not faithfully capture modif... read more 
cancer biology

Consumption of Reinforcing Solutions Engages Dynamic Activityof the Prelimbic Cortical Outputs

bioRxiv Mar 12, 2026
The medial prefrontal cortex integrates information about salience and valence of stimuli, including rewarding solutions like alcohol and sucrose, and regulates aspects of alcohol seeking and consumption. However, our understanding of how cortical ou... read more 
neuroscience

Nyxus: A Next Generation Image Feature Extraction Library for the Big Data and AI Era

arXiv Mar 12, 2026
Modern imaging instruments can produce terabytes to petabytes of data for a single experiment. The biggest barrier to processing big image datasets has been computational, where image analysis algorithms often lack the efficiency needed to process su... read more 
Computer Vision and Pattern Recognition q-bio.QM

Single Pixel Image Classification using an Ultrafast Digital Light Projector

arXiv Mar 12, 2026
Pattern recognition and image classification are essential tasks in machine vision. Autonomous vehicles, for example, require being able to collect the complex information contained in a changing environment and classify it in real time. Here, we exp... read more 
Computer Vision and Pattern Recognition physics.optics

Coarse-Guided Visual Generation via Weighted h-Transform Sampling

arXiv Mar 12, 2026
Coarse-guided visual generation, which synthesizes fine visual samples from degraded or low-fidelity coarse references, is essential for various real-world applications. While training-based approaches are effective, they are inherently limited by hi... read more 
Computer Vision and Pattern Recognition cs.AI

Chemical Reaction Networks Learn Better than Spiking Neural Networks

arXiv Mar 12, 2026
We mathematically prove that chemical reaction networks without hidden layers can solve tasks for which spiking neural networks require hidden layers. Our proof uses the deterministic mass-action kinetics formulation of chemical reaction networks. Sp... read more 
Machine Learning cs.AI math.ST stat.ML

Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing

arXiv Mar 12, 2026
The convolution operator is the fundamental building block of modern convolutional neural networks (CNNs), owing to its simplicity, translational equivariance, and efficient implementation. However, its structure as a fixed, linear, locally-averaging... read more 
Computer Vision and Pattern Recognition cs.AI

Beyond Convolution: A Taxonomy of Structured Operators for Learning-Based Image Processing

arXiv Mar 12, 2026
The convolution operator is the fundamental building block of modern convolutional neural networks (CNNs), owing to its simplicity, translational equivariance, and efficient implementation. However, its structure as a fixed, linear, locally-averaging... read more 
Computer Vision and Pattern Recognition cs.AI

Paper Title: LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments

arXiv Mar 12, 2026
Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such as Alzheimer's disease assessment. However, current deep-learning tools fragment this process: classifiers reduce a scan to a label, volumetric pipel... read more 
Computer Vision and Pattern Recognition cs.AI
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