OBJECTIVES: To develop a robotic system for full crown tooth preparation and to evaluate its preparation accuracy and operation time. METHODS: The robotic system comprised a robotic arm, an infrared optical tracking system, and proprietary planning/c... read more
Artificial intelligence (AI) has become a significant part of everyday life. This is evident in features such as personalized product recommendations that rely on user data and the widespread use of virtual assistants. Over the past decade, AI has be... read more
International journal of biological macromolecules
Jan 23, 2026
Green encapsulation materials prevent meat spoilage and quality deterioration by providing sustainable protection, which plays a crucial role in enhancing meat freshness. Therefore, sodium octenyl succinate starch (OSA starch) co-loaded with cinnamal... read more
PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (ML) -enabled risk prediction model. METHODS: Using data from 9,266 Atherosclerosis Risk in Communities study participants (aged 45-64 years at baselin... read more
Nanomedicine : nanotechnology, biology, and medicine
Jan 23, 2026
The aim of this paper was to construct a stable drug delivery mechanism of Narcissin, which is phytoconstituent of Aerva lanata that has Reverse Transcriptase potential of anti-breast cancer. The Rand Forest Classifier was the most successful machine... read more
Organotypic retinal explant cultures are a valuable experimental tool for investigating neuroretinal diseases and advancing therapeutic strategies. Ex vivo methods preserve the natural architecture and intercellular interactions of the retina whilst ... read more
PURPOSE: This study aimed to develop an artificial intelligence (AI) system using a convolutional neural network (CNN) to design major connectors for removable partial denture (RPD) frameworks. Unlike rule-based or case-matching expert systems, the p... read more
The H2/O2 catalytic recombination reaction, essential for safely utilizing hydrogen energy, was simulated rapidly and accurately using the molecular dynamics (MD) simulation with a machine-learning potential known as the 'universal neural network pot... read more
Reliable Lamb-wave-based Structural Health Monitoring (SHM) depends on accurate baseline selection under varying temperatures. This study presents LambNet-T, a lightweight path-conditional Transformer-based autoencoder for temperature-aware baseline ... read more
The excessive use of profenofos (PF) poses a significant threat to ecosystems and human health, making efficient degradation and detection technologies imperative. Despite the evident promise of nanozyme-based cascade catalytic systems, integrating s... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.