Artificial Intelligence Medical Compendium

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

Showing 22,081 to 22,090 of 216,627 articles

Predicting first onset of suicide attempt among children with suicidal ideation or non-suicidal self-injury using machine learning: a prospective population-based cohort study.

American journal of epidemiology May 7, 2026
While children with suicidal ideation or non-suicidal self-injury (NSSI) are at high risk of suicide, most do not attempt suicide. This study aims to identify predictors of first suicide attempts among children with suicidal thoughts or NSSI. We util... read more 

Head and Body Pose Classification for Understanding Sleep Behaviour in People Living with Dementia using Video and a Novel Multi-Head Attention-Driven Deep Learning Architecture

medRxiv May 6, 2026
Sleep posture is known to be relevant to various sleep disorders, such as sleep apnea, but it is not often quantified in sleep monitoring systems. We address this with a novel vision-based approach, which is robust to the challenging conditions (vari... read more 
health economics

SmartAlert: Integrating Machine Learning and Alert Triggers into Live Electronic Medical Record Systems, Targeting Low-Yield Inpatient Lab Tests

medRxiv May 6, 2026
This study explores integrating machine learning into electronic medical record systems to predict stability of inpatient lab tests. A 'SmartAlert' system was developed and tested at Stanford Hospital. The system identifies stable lab results, advisi... read more 
health informatics

An electrocardiogram-based machine learning model for distinguishing complete Kawasaki disease.

medRxiv May 6, 2026
Kawasaki disease (KD) is a systemic vasculitis in young children, and early diagnosis remains challenging when clinical features are incomplete or overlap with those of other febrile illnesses. Because electrocardiography (ECG) is noninvasive and wid... read more 
pediatrics

An Open Reproducible Framework for CNN-Based Cetacean Vocalization Detection in Passive Acoustic Monitoring

bioRxiv May 6, 2026
This paper presents a six-stage methodological framework for Convolutional Neural Network (CNN)-based cetacean vocalization detection and classification in Passive Acoustic Monitoring (PAM), implemented as the open-source toolkit ai-pam-pipeline. The... read more 
animal behavior and cognition

Tumor cell specific total mRNA expression informed neural networks predicts cancer progression

bioRxiv May 6, 2026
Inferring tumor molecular phenotypes from high-dimensional multi-omic data is a fundamental challenge in computational biology. Current methods for estimating tumor cell-specific total mRNA expression (TmS) require matched DNA and RNA sequencing data... read more 
bioinformatics

Prediction of Stimulation-Defined Eloquent Cortex Using Graph-Theoretical Connectivity from Electrocorticography During Presurgical Mapping

bioRxiv May 6, 2026
Background and Objectives: Electrical stimulation mapping (ESM) is the clinical gold standard for identifying eloquent cortex during presurgical evaluation but is time-intensive, constrained by incomplete cortical sampling, and limited by patient tol... read more 
neuroscience

An LLM-driven pipeline for proteomics-based detection and structural modeling of post-translational modifications

bioRxiv May 6, 2026
Post-translational modifications (PTMs) on proteins dynamically regulate their functions and subsequently cellular physiology. Significant advances have been made in their detection and modeling: mass spectrometry-based proteomics has become the corn... read more 
bioinformatics

Learning the Language of the Microbiome with Transformers

bioRxiv May 6, 2026
Self-supervised pretraining has become central to biological machine learning, yet microbiome data remains comparatively underexplored in terms of both modeling approaches and evaluation frameworks. To address this gap, we present Atlas, a pretrainin... read more 
bioinformatics

UNKAI: A protein functional identity prediction model based on ESM-C latent representations and the attention mechanism

bioRxiv May 6, 2026
The rapid advancement of genome sequencing technologies has led to the accumulation of a vast number of protein sequences in public databases. However, a significant proportion of these proteins remain functionally uncharacterized. Concurrently, the ... read more 
bioinformatics
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