Artificial Intelligence Medical Compendium

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

Showing 1,471 to 1,480 of 163,957 articles

AxOSyn: An Open-source Framework for Synthesizing Novel Approximate Arithmetic Operators

arXiv Jul 26, 2025
Edge AI deployments are becoming increasingly complex, necessitating energy-efficient solutions for resource-constrained embedded systems. Approximate computing, which allows for controlled inaccuracies in computations, is emerging as a promising a... read more 
Hardware Architecture Emerging Technologies Logic in Computer Science

Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural data.

Communications biology Jul 26, 2025
Understanding the pairing preferences and structural interactions between antibody heavy and light chains can enhance our ability to design more effective and specific therapeutic antibodies. Insights from natural antibody repertoires and conserved c... read more 

Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica.

Scientific reports Jul 26, 2025
Uncrewed aerial vehicles (UAVs) have become essential for remote sensing in extreme environments like Antarctica, but detecting moss and lichen using conventional red, green, blue (RGB) and multispectral sensors remains challenging. This study invest... read more 

Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.

Scientific reports Jul 26, 2025
The increasing demand for sustainable construction materials has prompted the investigation of non-biodegradable waste, such as human hair (HH), for concrete reinforcement. This study seeks to evaluate the impact of HH fiber on the fresh, physical, a... read more 

A Wearable Electrochemical Biosensor for Salivary Detection of Periodontal Inflammation Biomarkers: Molecularly Imprinted Polymer Sensor with Deep Learning Integration.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 26, 2025
The work presented here introduces a developed electrochemical biosensor for the salivary detection of matrix metalloproteinase-8 (MMP-8), utilizing a molecularly imprinted polymer (MIP) matrix based on poly(o-phenylenediamine). To enhance detection ... read more 

Comparison of Diagnostic Performance Between Large Language Models and Veterinary Evaluators in Feline Ocular Diseases Based on Clinical Summaries and Anterior Segment Photographs.

Veterinary ophthalmology Jul 26, 2025
To evaluate the diagnostic performance of ChatGPT-4.5 and ChatGPT-4o in comparison with experienced and novice veterinary ophthalmologists in diagnosing feline ocular disease. Sixty standardized feline ophthalmology cases, each involving an isolated ... read more 

Evidential deep learning-based drug-target interaction prediction.

Nature communications Jul 26, 2025
Drug-target interaction (DTI) prediction is a crucial component of drug discovery. Recent deep learning methods show great potential in this field but also encounter substantial challenges. These include generating reliable confidence estimates for p... read more 

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease.

NPJ digital medicine Jul 26, 2025
Cognitive impairment is a frequent complication of Parkinson's disease (PD), affecting up to half of newly diagnosed patients. To improve early detection and risk assessment, we developed machine learning models using clinical data from three indepen... read more 

Finite-time fault-tolerant tracking control for a QUAV with mixed faults and external disturbances based on adaptive global fast terminal sliding mode neural network control method.

Scientific reports Jul 26, 2025
This paper addresses the finite-time tracking control problem for a class of quadrotor unmanned aerial vehicle (QUAV) subject to unknown mixed faults and external disturbances. The considered mixed faults include both input quantization and actuator ... read more 

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

Annals of surgical oncology Jul 26, 2025
BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-ti... read more 
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