Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 531 to 540 of 158,401 articles
Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts.
Scientific reports
Jul 9, 2025
This research investigates the predictive modeling of ultra-high-performance concrete (UHPC) incorporating industrial byproducts, focusing on compressive strength (Fc), flexural strength (Ff), workability (Slump), and porosity. Various machine learni...
Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.
Scientific reports
Jul 9, 2025
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...
Artificial Intelligence-Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study.
Journal of medical Internet research
Jul 9, 2025
BACKGROUND: Facial biometric data, while valuable for clinical applications, poses substantial privacy and security risks.
Atomistic Simulations of Thermal and Chemical Expansions of PrNiCoO Accelerated by Machine Learning Potentials.
Small methods
Jul 9, 2025
The electrodes and solid-state electrolytes in protonic ceramic electrochemical cells (PCECs) experience significant lattice expansions when exposed to high steam concentrations at elevated temperatures. In this paper, phonon calculations based on a ...
Machine learning-based identification of key factors and spatial heterogeneity analysis of urban flooding: a case study of the central urban area of Ordos.
Scientific reports
Jul 9, 2025
With global climate change and accelerating urbanization, urban flood is becoming more frequent worldwide. Understanding the urban vulnerability is crucial for making decisions on urban flood control. This study uses urban flood susceptibility (UFS) ...
Exploring single-head and multi-head CNN and LSTM-based models for road surface classification using on-board vehicle multi-IMU data.
Scientific reports
Jul 9, 2025
Accurate road surface monitoring is essential for ensuring vehicle and pedestrian safety, and it relies on robust data acquisition and analysis methods. This study examines the classification of road surface conditions using single- and multi-head de...
Limited-angle SPECT image reconstruction using deep image prior.
Physics in medicine and biology
Jul 9, 2025
. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditions lead to a loss of frequency components, which distort the reconstructed tomographic image along directions corresponding to the non-collected proje...
Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning-Based Topic Modeling Approach: Exploratory Literature Review.
JMIR public health and surveillance
Jul 9, 2025
BACKGROUND: It remains unclear whether the existing health care services reflect the HIV care continuum, which underscores the need for integrated care beyond viral suppression.
Utilizing Predictive Analytics to Understand Neurogenic Bladder Symptom Score (NBSS) Variations in Adults With Acquired Spinal Cord Injury.
Neurourology and urodynamics
Jul 9, 2025
INTRODUCTION: Individuals with spinal cord injury (SCI) have varying bladder health trajectories after their injury. We explored whether a predictive machine learning model could identify which variables impact urinary symptoms.
Integrated Nanopore and short-read RNA sequencing identifies dysregulation of METTL3- m6A modifications in endocrine therapy- sensitive and resistant breast cancer cells.
Functional & integrative genomics
Jul 9, 2025
The role of epitranscriptomic changes in the development of acquired endocrine therapy (ET)- resistance in estrogen receptor α (ER) expressing breast cancer (BC) is unknown. We tested the hypothesis that inhibition of METTL3, the methyltransferase re...
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