Artificial Intelligence Medical Compendium

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

Showing 17,621 to 17,630 of 214,033 articles

Deep learning-based recognition model for surgical phases of minimally invasive hysterectomy: A multicentre retrospective study

medRxiv May 17, 2026
Objective: To develop and validate a robust deep-learning model capable of fine-grained phase recognition in total hysterectomy, particularly the complex periuterine dissection phase. Design: Multicentre retrospective observational study. Setting: Ja... read more 
obstetrics and gynecology

Risk of apnoea-related cardiorespiratory instability in preterm infants is modulated by clinical, demographic and dynamic indicators

medRxiv May 17, 2026
Background: Apnoea of prematurity is common and may cause desaturation and/or bradycardia. There is marked variability in infants cardiorespiratory responses to apnoea, despite standardised clinical thresholds. Factors influencing apnoea-related card... read more 
pediatrics

Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery

medRxiv May 17, 2026
Approximately 30-40% of stroke patients retain aphasia at 12 months. Early forecasting may guide rehabilitation and prognostic enrichment of clinical trials, yet machine learning (ML) prediction of language recovery has typically relied on chronic-ph... read more 
neurology

A Longitudinal Clinical Foundation Model on Nationwide Veteran Health Trajectories

medRxiv May 17, 2026
We present VA-LLM, a 1.62-billion-parameter autoregressive transformer pre-trained from scratch on 1.74 trillion tokens of clinical text spanning 22 years of care for 13.8 million patients in the Veterans Health Administration, with mortality outcome... read more 
health informatics

Real-time hip biomechanics from smart garments via a physics-informed neural network

medRxiv May 17, 2026
Tissue-level mechanical stimuli are primary drivers of tissue adaptation and can be optimised during conservative treatments to improve treatment outcomes for many highly prevalent musculoskeletal conditions. Current laboratory-based technologies lim... read more 
rehabilitation medicine and physical therapy

Prepubertal ovariectomy alters dorsomedial striatum indirect pathway neuron excitability and explore/exploit balance in female mice

bioRxiv May 17, 2026
Decision-making circuits are modulated across life stages (e.g. juvenile, adolescent, or adult), as well as on the shorter timescale of reproductive cycles in females, to meet changing environmental and physiological demands. Ovarian hormone signalin... read more 
neuroscience

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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