Artificial Intelligence Medical Compendium

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

Showing 971 to 980 of 161,325 articles

Functionalized Nanofinger Enhances Pretrained Language Model Performance for Ultrafast Early Warning of Heart Attacks.

ACS applied bio materials
Heart attacks are the leading cause of death worldwide, which means an accurate early warning system is needed. Traditional methods, such as an electrocardiogram (ECG) and blood test, usually require expert interpretation and take more than 15 min to... read more 

DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit.

BMC bioinformatics
BACKGROUND: Identification of drug target interactions (DTI) is an important part of the drug discovery process. Since prediction of DTI using laboratory tests is time consuming and laborious, automated tools using computational intelligence (CI) tec... read more 

Modeling the Behavior of Complex Aqueous Electrolytes Using Machine Learning Interatomic Potentials: The Case of Sodium Sulfate.

The journal of physical chemistry. B
Understanding the structure and thermodynamics of solvated ions is essential for advancing applications in electrochemistry, water treatment, and energy storage. While ab initio molecular dynamics methods are highly accurate, they are limited by shor... read more 

A Skin-Like Transparent, Low-Hysteresis, and Highly Conductive Ionogel for Human Motion Monitoring and Deep-Learning Assisted Human-Machine Interface.

Small methods
Human skin functions not only as a barrier but also as a sensitive interface responding to environmental stimuli. Skin-attachable conductive materials are gaining increasingly attention in the field of on-skin electronics for applications in health m... read more 

Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics.

Scientific reports
Virtual Reality (VR) technology offers a scalable and cost-effective approach to overcome the challenges of traditional medical training, including high expenses, limited resources, and ethical issues. This study presents a VR-based medical training ... read more 

Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP.

Scientific reports
Contemporary supply chain networks in the context of the era of Industry 4.0 are becoming more erratic and complex, and have an influx of structured and unstructured data. Conventional practices of supply chain management (SCM) cannot overcome real-t... read more 

Autonomous De Novo Lead Halide CsPbBr Perovskite Quantum Dots Synthesis Platform With Transfer Learning Accelerated Bayesian Optimization.

Small (Weinheim an der Bergstrasse, Germany)
Compared to traditional expert-driven pattern, the emerging concept of self-driving labs enabled by flow chemistry and artificial intelligence provides a new autonomous paradigm to significantly improve the R&D efficiency of functional material synth... read more 

Robotics Use in the Care and Management of People Living With Diabetes Mellitus: A Scoping Review.

Journal of diabetes science and technology
BACKGROUND: Diabetes prevalence is rising and projected to affect 783 million globally by 2045. Effective diabetes self-management relies on diabetes knowledge, lifestyle modifications, and health care support; yet global health care workforce shorta... read more 

An overview of focused ultrasound as a treatment option for gliomas.

Expert review of neurotherapeutics
INTRODUCTION: High-grade gliomas remain difficult to treat due to their infiltrative growth, therapeutic resistance, and the restrictive blood-brain barrier (BBB). Focused ultrasound (FUS) offers a noninvasive method to transiently disrupt the BBB, e... read more 

Deep learning optimization of STAR-RIS for enhanced data rate and energy efficiency in 6G wireless networks.

Scientific reports
Unlike traditional reflection-only reconfigurable intelligent surfaces (RISs), simultaneously transmitting and reflecting RISs (STAR-RISs) introduce an innovative technology. They expand the coverage area from half-space to full-space. This advanceme... read more