Artificial Intelligence Medical Compendium

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

Showing 17,411 to 17,420 of 213,726 articles

Indicators for predicting continuous insulin infusion therapy-related hypokalemia: multicenter retrospective cohort study.

Endocrine journal May 16, 2026
Hypokalemia is a common and potentially life-threatening complication of continuous intravenous insulin infusion (CII) in patients with hyperglycemic crises. However, no simple quantitative indicator can estimate the risk of hypokalemia at treatment ... read more 

Medicine, psychotherapy, and artificial intelligence.

Lancet (London, England) May 16, 2026
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The development of FEDUPP: feeding experimentation device users processing package to assess learning and cognitive flexibility.

Translational psychiatry May 16, 2026
Cognitive flexibility, the ability to adapt behavior in response to changing contingencies, is a key component of adaptive decision-making and is impaired in multiple neuropsychiatric disorders. Traditional rodent assays of cognitive flexibility are ... read more 

EMReady2: improvement of cryo-EM and cryo-ET maps by local quality-aware deep learning with Mamba.

Nature communications May 16, 2026
Cryo-electron microscopy (cryo-EM) has emerged as a leading technology for determining the structures of biological macromolecules. However, map quality issues such as noise and loss of contrast hinder accurate map interpretation. Traditional and dee... read more 

Experimental dataset of sub-critical cylinder wake velocity fields.

Scientific data May 16, 2026
Deep learning is of growing interest to the fluids community due its potential applications for real-time prediction and control. Indeed, whereas computational fluid dynamics solvers are prohibitively time-intensive for real-time implementation, deep... read more 

Cross-scale attention network for automated carbon nanomaterial recognition in TEM images.

Ultramicroscopy May 16, 2026
Automated interpretation of transmission electron microscopy (TEM) images for nanomaterial classification remains challenging due to complex multi-scale structural patterns, heterogeneous imaging conditions, and limited annotated data. Conventional c... read more 

Towards a General Approach for Bat Echolocation Detection and Classification

bioRxiv May 16, 2026
Acoustic monitoring is a scalable approach for assessing bat populations, yet automating the detection and classification of bat echolocation calls remains challenging, particularly in data-scarce regions. Although deep learning (DL) is increasingly ... read more 
ecology

OpenBase: a universal framework for high-accuracy single-molecule detection of diverse non-canonical DNA bases using nanopore sequencing

bioRxiv May 16, 2026
Nanopore sequencing holds great potential for the direct detection of non-canonical DNA bases from electrical signals, yet current approaches remain limited to a few classical epigenetic marks. Here we present OpenBase, an open and universal framewor... read more 
bioinformatics

A unified benchmark of synthetic data generation for clinical transcriptomic cancer cohorts

bioRxiv May 16, 2026
Achieving a trade-off between biological utility and patient privacy remains a key challenge for secure data sharing when applying transcriptomic clinical datasets to artificial intelligence in precision oncology. Here, we introduce the first benchma... read more 
bioinformatics

Hidden State Genomics: Graph-Based Analysis of Sparse Auto-Encoder Feature Activity in Genomic Language Models

bioRxiv May 16, 2026
Pre-trained genomic language model (gLM) representations have been anticipated to enable enhanced deep learning predictions on several genomics tasks, but current benchmarking has led to questions over what they actually encode. We studied this with ... read more 
bioinformatics
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