Artificial Intelligence Medical Compendium

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

Showing 541 to 550 of 158,401 articles

Fast Equivariant Imaging: Acceleration for Unsupervised Learning via Augmented Lagrangian and Auxiliary PnP Denoisers

arXiv Jul 9, 2025
We propose Fast Equivariant Imaging (FEI), a novel unsupervised learning framework to efficiently train deep imaging networks without ground-truth data. From the perspective of reformulating the Equivariant Imaging based optimization problem via th...
Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Optimization and Control
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Residual Prior-driven Frequency-aware Network for Image Fusion

arXiv Jul 9, 2025
Image fusion aims to integrate complementary information across modalities to generate high-quality fused images, thereby enhancing the performance of high-level vision tasks. While global spatial modeling mechanisms show promising results, constru...
Computer Vision and Pattern Recognition Machine Learning Multimedia
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A Comprehensive Review of Terahertz Time-Domain Spectroscopy for Agri-Food Safety Detection: Enhanced Sensing Performance Through Multidisciplinary Technology Integration.

Critical reviews in analytical chemistry Jul 9, 2025
The development of efficient and accurate methods for detecting contamination in agri-foods is critical for ensuring food safety. Terahertz time-domain spectroscopy (THz-TDS), distinguished by its unique spectral characteristics and nondestructive de...
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Enhancing medical students' diagnostic accuracy of infectious keratitis with AI-generated images.

BMC medical education Jul 9, 2025
BACKGROUND: Developing students' ability to accurately diagnose various types of keratitis is challenging. This study aims to compare the effectiveness of teaching methods-real cases, artificial intelligence (AI)-generated images, and real medical im...
Education, Medical, Undergraduate Male Keratitis Clinical Competence Ophthalmology Artificial Intelligence Students, Medical Humans
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Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.

Journal of medical Internet research Jul 9, 2025
BACKGROUND: Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neonatal death globally and the second leading cause of infant mortality in the United States. There is mounting evidence that COVID-19 infection during pr...
Premature Birth SARS-CoV-2 Female Infant, Newborn Adult Humans Pregnancy Complications, Infectious Social Media COVID-19 Pregnancy Trimesters Retrospective Studies Pregnancy
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Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts.

JMIR infodemiology Jul 9, 2025
BACKGROUND: Abortion access in the United States has been in a state of rapid change and increasing restriction since the Dobbs v Jackson Women's Health Organization decision from the US Supreme Court in June 2022. With further constraints on access ...
Pregnancy Female Humans Social Media Natural Language Processing United States Health Services Accessibility Abortion, Induced Abortion, Legal Internet
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A multi-pseudo-sensor fusion approach to estimating the lower limb joint moments based on deep neural network.

Medical & biological engineering & computing Jul 9, 2025
Reliable feedback of gait variables, such as joint moments, is critical for designing controllers of intelligent assistive devices that can assist the wearer outdoors. To estimate lower extremity joint moments quickly and accurately outside the labor...
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SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data.

Scientific data Jul 9, 2025
Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. In this study, we present a novel machine learning (ML) based framework for generating a continuous...
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Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network.

Scientific reports Jul 9, 2025
The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. The Xception-NN model, which is a modif...
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Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection.

Nature medicine Jul 9, 2025
Artificial intelligence models using digital histopathology slides stained with hematoxylin and eosin offer promising, tissue-preserving diagnostic tools for patients with cancer. Despite their advantages, their clinical utility in real-world setting...
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