Artificial Intelligence Medical Compendium

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

Showing 401 to 410 of 234,501 articles

Dose-dependent cardiac autonomic dysregulation under classroom crowding: heart rate variability analysis and machine learning classification.

Journal of physiological anthropology
Classroom overcrowding affects hundreds of millions of students globally, yet its physiological impact on cardiac autonomic function remains uncharacterized. This controlled within-subjects experiment enrolled 30 healthy university students who atten... read more 

Phyllodes Tumors of the Breast in 2026: A Contemporary Narrative Review of Diagnosis, Surgical Margins, Prognosis, and Emerging Therapies.

Cureus
Phyllodes tumors of the breast are rare fibroepithelial neoplasms characterized by significant heterogeneity regarding morphology, biological behavior, and clinical outcome. This review summarizes current developments in the diagnosis, histopathologi... read more 

Implementation and early outcomes of AI-powered ambient documentation in pediatric otolaryngology practice.

International journal of pediatric otorhinolaryngology
BACKGROUND: Electronic health record (EHR) documentation contributes to clinician burnout, yet evidence on ambient artificial intelligence (AI) scribes in pediatric surgical subspecialties is limited. We evaluated adoption and documentation efficienc... read more 

Sleep Stage Classification Across Heterogeneous EEG/EOG Channels with Multi-channel Differential Transformer.

Cognitive neurodynamics
Classification of sleep stages is essential for assessing sleep quality and diagnosing sleep disorders. However, manual inspection of EEG characteristics for each stage is time-consuming and prone to human error. Although machine learning and deep le... read more 

Kawasemi-Colours: an open end-to-end platform for structure-colour design based on avian structural colour

bioRxiv
Structural colour provides durable, pigment-free colouration by controlling the interaction of light with nanostructured materials rather than by using wavelength-selective pigments. In birds, non-iridescent blue and green plumage arises from coheren... read more 

PATHNet: A Thermodynamic Path-Integral-Inspired Neural Network for Protein-Ligand Interaction Prediction

bioRxiv
Protein-ligand scoring functions must capture strongly nonlinear, target-dependent binding physics while remaining generalizable beyond their training data, a balance that purely analytic and purely data-driven models each struggle to achieve on thei... read more 

LigRNA: High-accuracy prediction of RNA-ligand binding sites via dynamic chemical complementarity and language model encoding

bioRxiv
RNA-binding small molecules represent a validated therapeutic modality, yet pinpointing their exact RNA binding sites remains critical for mechanistic understanding and drug optimization. Experimental methods, while precise, are costly and low-throug... read more 

Benchmarking Recording-Level Clinical Speech De-identification for Privacy-Preserving Clinical Audio

medRxiv
Transcript-based de-identification protects textual records but leaves sensitive health information (SHI) directly audible in source recordings, limiting trustworthy reuse of clinical audio. However, standardized evaluations of recording-level SHI de... read more 

Multimodal Artificial Intelligence for Cause-of-Death Assignment From Verbal Autopsy Records: A National Benchmark Study in South Africa

medRxiv
BACKGROUND Timely cause-of-death (COD) information guides health policy, yet many deaths in low- and middle-income countries are not medically certified. In Africa, fewer than 10% of deaths are. Verbal autopsy (VA) yields a structured symptom questio... read more