AIMC Topic: Algorithms

Clear Filters Showing 7751 to 7760 of 28713 articles

Radiation dose estimation with multiple artificial neural networks in dicentric chromosome assay.

International journal of radiation biology Apr 30, 2024
PURPOSE: The dicentric chromosome assay (DCA), often referred to as the 'gold standard' in radiation dose estimation, exhibits significant challenges as a consequence of its labor-intensive nature and dependency on expert knowledge. Existing automate...
Radiation Dosage Dose-Response Relationship, Radiation Chromosome Aberrations Algorithms Humans Deep Learning Neural Networks, Computer Poisson Distribution
View on PubMed DOI

Integrating Machine Learning in Metabolomics: A Path to Enhanced Diagnostics and Data Interpretation.

Small methods Apr 29, 2024
Metabolomics, leveraging techniques like NMR and MS, is crucial for understanding biochemical processes in pathophysiological states. This field, however, faces challenges in metabolite sensitivity, data complexity, and omics data integration. Recent...
Deep Learning Metabolomics Metabolome Machine Learning Algorithms Humans Data Interpretation, Statistical
View on PubMed DOI

Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm.

European radiology Apr 29, 2024
OBJECTIVES: To develop and validate an open-source artificial intelligence (AI) algorithm to accurately detect contrast phases in abdominal CT scans.
Radiography, Abdominal Deep Learning Contrast Media Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Algorithms Retrospective Studies Artificial Intelligence Female Aged Tomography, X-Ray Computed Humans
View on PubMed DOI

Construction and evaluation of a metabolic correlation diagnostic model for diabetes based on machine learning algorithms.

Environmental toxicology Apr 29, 2024
BACKGROUND: Diabetes mellitus (DM) is a prevalent chronic disease marked by significant metabolic dysfunctions. Understanding its molecular mechanisms is vital for early diagnosis and treatment strategies.
Diabetes Mellitus Machine Learning Chemokine CXCL12 Algorithms Leukocytes, Mononuclear Humans
View on PubMed DOI

Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction.

Interdisciplinary sciences, computational life sciences Apr 29, 2024
Autism spectrum disorder (ASD) is a complex, severe disorder related to brain development. It impairs patient language communication and social behaviors. In recent years, ASD researches have focused on a single-modal neuroimaging data, neglecting th...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Autism Spectrum Disorder Brain Humans Machine Learning Algorithms Neural Networks, Computer
View on PubMed DOI

Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 29, 2024
Providing a model that achieves a strong predictive performance and is simultaneously interpretable by humans is one of the most difficult challenges in machine learning research due to the conflicting nature of these two objectives. To address this ...
Deep Learning Humans Normal Distribution Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Long-term causal effects estimation via latent surrogates representation learning.

Neural networks : the official journal of the International Neural Network Society Apr 29, 2024
Estimating long-term causal effects based on short-term surrogates is a significant but challenging problem in many real-world applications such as marketing and medicine. Most existing methods estimate causal effects in an idealistic and simplistic ...
Algorithms Humans Causality Neural Networks, Computer Machine Learning
View on PubMed DOI

DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis.

Neural networks : the official journal of the International Neural Network Society Apr 29, 2024
Malaria is a significant health concern worldwide, particularly in Africa where its prevalence is still alarmingly high. Using artificial intelligence algorithms to diagnose cells with malaria provides great convenience for clinicians. In this paper,...
Diagnosis, Computer-Assisted Deep Learning Malaria Machine Learning Humans Algorithms Neural Networks, Computer Skin Neoplasms Artificial Intelligence
View on PubMed DOI

A deep learning-based 3D Prompt-nnUnet model for automatic segmentation in brachytherapy of postoperative endometrial carcinoma.

Journal of applied clinical medical physics Apr 29, 2024
PURPOSE: To create and evaluate a three-dimensional (3D) Prompt-nnUnet module that utilizes the prompts-based model combined with 3D nnUnet for producing the rapid and consistent autosegmentation of high-risk clinical target volume (HR CTV) and organ...
Deep Learning Imaging, Three-Dimensional Algorithms Image Processing, Computer-Assisted Prognosis Tomography, X-Ray Computed Radiotherapy Dosage Humans Female Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Brachytherapy Endometrial Neoplasms Organs at Risk
View on PubMed DOI

A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models.

Environmental science and pollution research international Apr 29, 2024
The research aims to propose a feature selection model for hydraulic analysis as such a model has not been proposed previously. For this purpose, hybrids of three metaheuristic algorithms, particle swarm optimization (PSO), ant colony optimization (A...
Machine Learning Algorithms Spatial Analysis Floods Models, Theoretical Support Vector Machine
View on PubMed DOI
Popular Topics
Recent Journals