Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 621 to 630 of 159,571 articles
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...
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...
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...
Quantum support vector classifier for phase diagram prediction in quinary systems.
Materials horizons
Jul 14, 2025
The integration of machine learning (ML) in materials science has accelerated the discovery and optimization of novel materials. However, classical ML approaches often face limitations in handling the increasing complexity and scale of modern dataset...
The Usability and Experience of Artificial Intelligence-Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review.
Journal of clinical nursing
Jul 14, 2025
BACKGROUND: Artificial intelligence-based conversational agents (CAs) have shown transformative potential in healthcare, yet their application in cancer health education has remained underexplored, particularly regarding usability and patients' exper...
The Helicobacter pylori AI-clinician harnesses artificial intelligence to personalise H. pylori treatment recommendations.
Nature communications
Jul 14, 2025
Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen globally and the leading cause of gastric cancer. Here, we develop a reinforcement learning-based AI Clinician system to personalise treatment selection and evaluate its ability...
A cryptosystem for face recognition based on optical interference and phase truncation theory.
Scientific reports
Jul 14, 2025
Face recognition technology is increasingly prevalent, yet securing facial image data remains a critical challenge due to privacy risks. This study introduces an innovative cryptosystem that utilizes optical interference and phase truncation theory t...
Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis.
JMIR medical informatics
Jul 14, 2025
BACKGROUND: Standardized registries, such as the International Classification of Diseases (ICD) codes, are commonly built using administrative codes assigned to patient encounters. However, patients with fall injury are often coded using subsequent i...
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...
Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation.
Cell regeneration (London, England)
Jul 14, 2025
Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non-invasive biomarkers for enhanced diagnostic precision. Using the XGBoost algorithm and variable analysis and the published metadata, we developed the...
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