Artificial Intelligence Medical Compendium

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

Showing 38,491 to 38,500 of 223,469 articles

LAMBDA: A Prophage Detection Benchmark for Genomic Language Models

bioRxiv
Transformer-based genomic sequence models represent an emerging frontier in computational biology. Yet, their embeddings have not yet shown the same level of predictive power as natural and protein language models, indicating a gap between current im... read more 

Development of a natural language processing application to extract and categorize mentions of violence from mental healthcare records text

medRxiv
Background: Experiences of violence are reported frequently by mental health service users, victims of violence are at a greater risk of mental health disorders, and violence may sometimes occur as a consequence of a mental disorder. Electronic healt... read more 

Usages and perceptions of artificial intelligence among French radiologists

medRxiv
This study analyzes the adoption, barriers, and expectations of French radiologists regarding the use of Artificial Intelligence (AI) solutions in their daily practice. Despite a recognition of AI's potential to make radiology more precise, predictiv... read more 

Artificial Intelligence Devices for Image Analysis in Digital Pathology

medRxiv
BACKGROUND: There is increasing momentum behind the clinical implementation of AI-based software for image analysis in digital pathology. As regulations, standards, and national approaches to the clinical use of AI continue to develop, the marketplac... read more 

Predicting Infant Nonattendance at the Next Recommended Well-Child Visit: Model Development and Validation

medRxiv
BackgroundWell-child visits (WCVs) are essential for preventive care, yet missed appointments often lead to delayed interventions. We developed and validated models to predict next-visit nonattendance using routine electronic health record data. Met... read more 

Impact of simulated MRI artifacts on deep learning-based brain age prediction

medRxiv
Brain age is a promising biomarker for detecting atypical and pathological brain aging, but its accuracy and reliability depend critically on MRI quality. The impact of common MR image degradations such as motion, ghosting, blurring, and noise on bra... read more 

Performance Assessment of ECG Delineators on Single-Lead Wearable Ambulatory Data

medRxiv
Reliable interpretation of electrocardiograms (ECGs) requires precise identification of P, QRS, and T (PQRST) wave boundaries. However, it remains challenging due to noise, signal quality variability, and inherent morphological diversity particularly... read more 

AI-Derived ECG Age Gap as a Digital Biomarker for Cardiovascular Risk Stratification

medRxiv
Cardiovascular diseases remain the leading cause of global mortality, and early risk stratification is critical for improving prognosis. Artificial intelligence-derived electrocardiography (AI-ECG) provides a promising approach to derive cardiac biol... read more 

A Systematic Performance Evaluation of Three Large Language Models in Answering Questions on moderate Hyperthermia

medRxiv
Background: Large Language Models (LLMs) have demonstrated expert-level performance across many medical domains, suggesting potential utility in clinical practice. However, their reliability in the highly specialized domain of moderate hyperthermia (... read more 

Utility of 3D Facial Analysis As A Biomarker In Rare Diseases Exploration with Hereditary Angioedema

medRxiv
Importance: People living with rare diseases (PLWRD) often face significant challenges in receiving timely and accurate diagnoses, leading to what is known as a diagnostic odyssey. Digital phenotyping (DP) offers a promising solution by leveraging ad... read more