Artificial Intelligence Medical Compendium

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

Showing 591 to 600 of 159,571 articles

Additive Manufacturing of Neuromorphic Systems.

Advanced materials (Deerfield Beach, Fla.) Jul 14, 2025
Neuromorphic engineering aims to create brain-inspired computing systems based on synaptic electronic hardware and neural network software. It combines intelligent materials, advanced processing technology, and computation programs. Additive manufact...
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NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks.

Journal of chemical information and modeling Jul 14, 2025
Unsupervised machine learning has recently gained much attention in the field of molecular dynamics (MD). Particularly, dimensionality reduction techniques have been regularly employed to analyze large volumes of high-dimensional MD data to gain insi...
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Discovery of selective GluN1/GluN3A NMDA receptor inhibitors using integrated AI and physics-based approaches.

Acta pharmacologica Sinica Jul 14, 2025
N-methyl-D-aspartate receptors (NMDARs) are glutamate-gated ion channels essential for synaptic transmission and plasticity in the central nervous system. GluN1/GluN3A, an unconventional NMDAR subtype functioning as an excitatory glycine receptor, ha...
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Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study.

Journal of medical Internet research Jul 14, 2025
BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, including medical question-answering (QA). However, individual LLMs often exhibit varying performance across different medical QA...
Humans Machine Learning Natural Language Processing Large Language Models Ensemble Learning
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Highly Responsive Self-Healing and Degradable Piezoelectric Soft Machines.

Advanced materials (Deerfield Beach, Fla.) Jul 14, 2025
Piezoelectric materials that are simultaneously healable, stretchable, and degradable have remained an unmet challenge, limiting advancements in wearable and implantable electronics, where devices face multidimensional mechanical deformation, causing...
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A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

Reproductive sciences (Thousand Oaks, Calif.) Jul 14, 2025
This study aimed to predict the likelihood of natural conception among couples by using a machine learning (ML) approach based on sociodemographic and sexual health data. This marks a novel, non-invasive methodology for fertility prediction. This pro...
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Cottonseed-Derived Reusable Bio-Carbon Gel Ink for DIW Printing Soft Electronic Textiles.

Advanced materials (Deerfield Beach, Fla.) Jul 14, 2025
Soft electronics textiles have garnered global attention for their wearability and promising applications in healthcare, energy devices, and artificial intelligence. Recently, direct-ink-writing (DIW) technology has shown a growing trend because of i...
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Using of aluminum (lignin /silica /fatty acids) hybrid filler in the fabrication of natural rubber conductive elastomers.

Scientific reports Jul 14, 2025
Green flexible conductive composites (FCCs) with high flexibility and foldability have potential uses in wearables, artificial intelligence (AI), and other fields. This research explores the valorization of aluminum hybrid fillers (lignin, silica, an...
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Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology Jul 14, 2025
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...
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An Adaptive Generative 3D VNet Model for Enhanced Monkeypox Lesion Classification Using Deep Learning and Augmented Image Fusion.

Journal of imaging informatics in medicine Jul 14, 2025
As monkeypox is spreading rapidly, the incidence of monkeypox has been increasing in recent times. Therefore, it is very important to detect and diagnose this disease to get effective treatment planning. The prominent aim of this paper is to design a...
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