Artificial Intelligence Medical Compendium

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

Showing 19,891 to 19,900 of 215,899 articles

Three Decades of FDA Authorizations of AI/ML Enabled Medical Devices: Persistent Specialty Concentration and the Care Delivery Gap (1995 to 2025)

medRxiv May 12, 2026
The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence and machine learning (AI/ML)-enabled medical devices that have received marketing authorization. Prior published analyses examined this list at earlier time ... read more 
health informatics

MRI reveals the hierarchical organization of abdominal biological aging from shared burden to disease-specific organ engagement

medRxiv May 12, 2026
Multi-organ biological aging is often represented as parallel organ-specific clocks, but how age gaps should be interpreted within an anatomically coupled imaging system remains unclear. Applying end-to-end deep learning to abdominal Dixon MRI from 6... read more 
radiology and imaging

Characterization of menopause onset and associated disease risks using large-scale electronic health records

medRxiv May 12, 2026
Menopause affects over one billion women worldwide, yet remains poorly characterized at scale. We apply an ICD-10-based phenotyping algorithm to electronic health records (EHR) from an academic medical center (n=33,444 women aged 35-64) and a safety-... read more 
obstetrics and gynecology

GHOSTS: Generation of synthetic hospital time series for clinical machine learning research

medRxiv May 12, 2026
Machine learning (ML) holds great promise to support, improve, and automatize clinical decision-making in hospitals. Data protection regulations, however, hinder abundantly available routine data from being shared across sites for model training. Gen... read more 
health informatics

Swarm-GestaltMatcher: distributed Gestalt learning through Swarm Learning to enhance facial phenotyping for rare genetic syndromes

medRxiv May 12, 2026
Deep learning-based facial phenotyping represents a major paradigm shift in the diagnosis of rare and ultra-rare genetic disorders. By capturing disease-specific craniofacial 'gestalts' that are often subtle, overlapping, but overlooked in routine cl... read more 
health informatics

Detecting and quantifying overparametrization in RNA language models with REDIAL

bioRxiv May 12, 2026
While RNA language models (LMs) have served as foundation models (FMs) to advanced structural prediction, their evaluation relies heavily on supervised downstream tasks. Such tasks can often mask FM inefficiencies and reflect downstream training set ... read more 
bioinformatics

Decoding the Sequence Requirements for Translation Initiation

bioRxiv May 12, 2026
Accurate selection of start codons by ribosomes is a fundamental determinant of proteome composition. Although the 'Kozak sequence'--an 8-nucleotide sequence flanking the start codon--has long been viewed as the primary determinant of initiation in e... read more 
molecular biology

An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures

bioRxiv May 12, 2026
Spontaneous thought is pervasive in everyday human cognition, yet datasets capturing its neural dynamics under minimally interrupted conditions remain limited. The current dataset was acquired from a think-aloud functional MRI experiment in which 118... read more 
neuroscience

CardioSafe: Multi-task prediction of cardiac ion channel activity with reverse-leak audited benchmarking

bioRxiv May 12, 2026
Drug-induced inhibition of the hERG potassium channel is the leading cause of cardiac safety-related drug attrition, but the Comprehensive in Vitro Proarrhythmia Assay (CiPA) framework requires activity data on multiple cardiac ion channels to assess... read more 
bioinformatics

Culsma: A Formal Language for Laboratory Protocols

bioRxiv May 12, 2026
The application of artificial intelligence to biomedical research increasingly depends on iterative cycles in which AI systems analyze experimental data, propose follow-up conditions, and drive automated execution at scale, a paradigm central to Bio-... read more 
bioinformatics
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