Artificial Intelligence Medical Compendium

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

Showing 17,241 to 17,250 of 213,726 articles

Evo 2 Predicts Cardiomyopathy-Associated Variants and Elucidates Their Underlying Mechanisms

bioRxiv
Background: Although advances in next-generation sequencing have accelerated the identification of genetic variants in cardiomyopathy, interpreting variants of uncertain significance (VUS) remains a clinical challenge. Evo 2 is a high-resolution geno... read more 

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

medRxiv
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 

Novelty to necessity: large language models in clinical practice-a call to action for physicians.

Internal and emergency medicine
Large language models (LLMs) represent a rapidly advancing subset of artificial intelligence with significant potential to augment clinical practice. These tools can assist in literature synthesis, documentation, clinical reasoning, and patient commu... read more 

DNA methylation biomarkers associated with early gastric cardia carcinogenesis.

Clinical and experimental medicine
Gastric cardia cancer (GCC) is an aggressive malignancy with poor prognosis, underscoring the need for better characterization of molecular alterations during early gastric cardia carcinogenesis. This study aimed to identify and validate tissue-based... read more 

GATA Family Transcription Factor OsGATA1 Regulates Grain Size and Brassinosteroid Biosynthesis in Rice.

Rice (New York, N.Y.)
Grain size is a critical agronomic trait that influences grain yield in rice. However, the molecular mechanisms underlying grain size regulation in rice have not been fully elucidated. Here, we report that the GATA family transcription factor OsGATA1... read more 

Extreme Temperature Cryptography Based On Nitrogen-Incorporated Ultrananocrystalline Diamond.

ACS nano
Physical entropy sources that remain stable under extreme temperatures are essential for cryptography in emerging technological frontiers in deep space exploration, geothermal energy harvesting, and nuclear energy. However, conventional semiconductor... read more 

Machine Learning-Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing.

Small (Weinheim an der Bergstrasse, Germany)
Rapid, portable, and automated determination of minimum inhibitory concentration (MIC) is critical for antimicrobial susceptibility testing in decentralized settings. We present TCG-CMDA (Tree-Shaped Concentration Gradient generator enabled by Capill... read more 

Formulaic and novel language dissociate in Alzheimer's clinical syndrome: evidence for the Dual-Process Model.

Journal of clinical and experimental neuropsychology
INTRODUCTION: Spontaneous speech is commonly disrupted in persons with Alzheimer's disease (AD) and/or Alzheimer's clinical syndrome (ACS). Importantly, different aspects of speech (e.g. formulaic versus more novel or flexible speech) place different... read more 

The Immediate Effects of a 3D Intraoral Scanner as an Adjunctive Oral Hygiene Educational Tool: A Randomised Controlled Trial.

International journal of dental hygiene
OBJECTIVES: This single-visit randomised controlled clinical trial (RCT) aimed to evaluate the immediate effects of a three-dimensional (3D) intraoral scanner as an adjunctive oral hygiene education tool compared to standard personalised oral hygiene... read more 

Performance evaluation of an EEG-guided robotic glove with machine learning models for hand rehabilitation in injured athletes.

Journal of back and musculoskeletal rehabilitation
BackgroundAssistive rehabilitation technologies play a crucial role in improving motor recovery for individuals with hand injuries particularly athletes where traditional methods often lack real-time neural feedback and adaptability.ObjectiveThis stu... read more