Artificial Intelligence Medical Compendium

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

Showing 5,301 to 5,310 of 174,574 articles

Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems.

Scientific reports
The Internet of Things (IoT) presents significant advantages to day-to-day life across a wide range of application domains, including healthcare automation, transportation, and smart environments. However, owing to the constraints of limited resource... read more 

Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement.

Scientific reports
Leukocytes or white blood cells (WBCs) are the main components of the immune system that protect the human body from various infections caused by viruses, bacteria, fungi, and other microorganisms. There are five major types of leukocytes: basophils,... read more 

TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues.

Nature communications
The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. However, the topological principles governing interactions among cell types within spatial... read more 

Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT.

Cancer imaging : the official publication of the International Cancer Imaging Society
OBJECTIVE: This study aimed to construct a multimodal imaging deep learning (DL) model integrating mpMRI and F-PSMA-PET/CT for the prediction of extraprostatic extension (EPE) in prostate cancer, and to assess its effectiveness in enhancing the diagn... read more 

Discovering action insights from large-scale assessment log data using machine learning.

Scientific reports
This study introduces a novel machine learning algorithm that combines natural language processing techniques, such as Word2Vec and Doc2Vec, with neural networks to identify and validate significant actions within human action sequences. Using the 20... read more 

Metabolomics and nutrient intake reveal metabolite-nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study.

Nutrition journal
BACKGROUND: Despite advances in metabolomics, the complex relationship between metabolites and nutrient intake in metabolic syndrome (MetS) remains poorly understood in the Korean population. read more 

Plasma interleukin-22 concentration and disease activity in inflammatory bowel disease.

Scientific reports
The relationship between interleukin-22 and clinical characteristics of patients with inflammatory bowel disease is uncertain. We sought to determine whether plasma interleukin-22 concentrations are associated with disease activity in a large populat... read more 

Advances in mitigating methane emissions from rice cultivation: past, present, and future strategies.

Environmental science and pollution research international
This paper analyzes methane emissions from rice cultivation, a major source of global methane (10-12% of emissions), driven by traditional flooding practices that create anaerobic conditions. Before 2000, continuous flooding was the dominant rice irr... read more 

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps... read more 

Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants.

Scientific reports
Water is one of the most critical and finite resources on our planet. As the demand for freshwater continues to grow, effectively managing and purifying existing water sources becomes increasingly important. This study introduces a Machine learning-b... read more