Artificial Intelligence Medical Compendium

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

Showing 121 to 130 of 234,208 articles

Dermoscopy of intraepidermal keratinocytic neoplasms in solid organ transplant recipients: a single-center prospective real-world study supported by machine learning.

Actas dermo-sifiliograficas
BACKGROUND: Actinic keratoses (AKs) and Bowen disease (BD) are precursors of cutaneous squamous cell carcinoma (cSCC) and are particularly relevant in solid organ transplant recipients (SOTRs) because of chronic immunosuppression. Early, accurate dia... read more 

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 

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 

Decoding Clade-Specific bNAb-HIV-1 Env Interactions Using Machine Learning

bioRxiv
Human immunodeficiency virus type 1 (HIV-1) exhibits extensive genetic diversity, posing a major challenge to AIDS vaccine development. Broadly neutralizing antibodies (bNAbs) isolated from HIV-1-infected individuals offer valuable templates for desi... read more 

Decoding plant x environment interactions through spatial gradients in leaf physiology and metabolism

bioRxiv
Succulent leaves are well known to combine photosynthesis, carbon storage and hydraulic buffering. However, their metabolic responses to heat and drought may differ along the same leaf axis. We investigated spatial and temporal changes in leaf tissue... read more 

RePurpose: An LLM-Assisted, Source-Traceable Drug Repurposing Tool with Retrospective Validation on Clemastine in Multiple Sclerosis

bioRxiv
Summary Thus far, evidence for drug repurposing is contained in target-, drug-, trial-, and literature-based data sources that are challenging to synthesize for non-specialists. Here, we introduce RePurpose, a web-based tool that takes as input a top... read more