AIMC Topic: Breast Neoplasms

Clear Filters Showing 641 to 650 of 2382 articles

Optimizing pain management in breast cancer care: Utilizing 'All of Us' data and deep learning to identify patients at elevated risk for chronic pain.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Jul 26, 2024
PURPOSE: The aim of the study was to develop a prediction model using deep learning approach to identify breast cancer patients at high risk for chronic pain.
Chronic Pain Middle Aged Deep Learning United States Pain Management Aged Adult Breast Neoplasms Humans Retrospective Studies Female
View on PubMed DOI

Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer.

BMC medical imaging Jul 26, 2024
BACKGROUND: The purpose of this study is to develop and validate the potential value of the deep learning radiomics nomogram (DLRN) based on ultrasound to differentiate mass mastitis (MM) and invasive breast cancer (IBC).
Breast Neoplasms Radiomics Middle Aged Deep Learning Aged Ultrasonography, Mammary Humans ROC Curve Adult Female Mastitis Sensitivity and Specificity Nomograms Diagnosis, Differential
View on PubMed DOI

A deep learning-based method for the detection and segmentation of breast masses in ultrasound images.

Physics in medicine and biology Jul 26, 2024
Automated detection and segmentation of breast masses in ultrasound images are critical for breast cancer diagnosis, but remain challenging due to limited image quality and complex breast tissues. This study aims to develop a deep learning-based meth...
Deep Learning Ultrasonography Image Processing, Computer-Assisted Humans Ultrasonography, Mammary Neural Networks, Computer Female Breast Neoplasms
View on PubMed DOI

Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

The Tohoku journal of experimental medicine Jul 25, 2024
While deep learning (DL) models have shown promise in breast cancer diagnosis using digital breast tomosynthesis (DBT) images, the impact of varying matrix sizes and image interpolation methods on diagnostic accuracy remains unclear. Understanding th...
Adult Breast Neoplasms Middle Aged Deep Learning Retrospective Studies Female Aged Aged, 80 and over Image Processing, Computer-Assisted Mammography Humans
View on PubMed DOI

Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Humans Artificial Intelligence Algorithms Retrospective Studies Female Reproducibility of Results Aged Breast Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Adult Diffusion Magnetic Resonance Imaging Gadolinium Image Processing, Computer-Assisted Sensitivity and Specificity Image Enhancement Contrast Media Breast Neoplasms Magnetic Resonance Imaging Middle Aged
View on PubMed DOI

Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 25, 2024
OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the breast tissue. In a few cases, erroneous diagnosis of breast cancer by specialists and unnecessary biopsies can lead to various negative consequences. In ...
Middle Aged Adolescent Diagnosis, Differential Radiologists Ultrasonography, Mammary Young Adult Breast Humans Image Interpretation, Computer-Assisted Adult Artificial Intelligence Reproducibility of Results Sensitivity and Specificity Female Breast Neoplasms Aged Aged, 80 and over
View on PubMed DOI

Biomarker profiling and integrating heterogeneous models for enhanced multi-grade breast cancer prognostication.

Computer methods and programs in biomedicine Jul 22, 2024
BACKGROUND: Breast cancer remains a leading cause of female mortality worldwide, exacerbated by limited awareness, inadequate screening resources, and treatment options. Accurate and early diagnosis is crucial for improving survival rates and effecti...
Adult Breast Neoplasms Biomarkers, Tumor Humans Middle Aged Algorithms Neoplasm Grading Artificial Intelligence Prognosis Machine Learning alpha-Fetoproteins Female Aged
View on PubMed DOI

Self-organizing maps for exploration and classification of nuclear magnetic resonance spectra for untargeted metabolomics of breast cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Metabolomics has emerged as a powerful tool for identifying biomarkers of disease, and nuclear magnetic resonance (NMR) spectroscopy allows for the simultaneous detection of a wide range of metabolites. However, due to complex interactions within met...
Algorithms Female Adult Sensitivity and Specificity Humans Neural Networks, Computer Case-Control Studies Breast Neoplasms Metabolomics Biomarkers, Tumor Magnetic Resonance Spectroscopy Middle Aged Proton Magnetic Resonance Spectroscopy
View on PubMed DOI

Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 19, 2024
Artificial intelligence (AI) models can play a more effective role in managing patients with the explosion of digital health records available in the healthcare industry. Machine-learning (ML) and deep-learning (DL) techniques are two methods used to...
Machine Learning Female Breast Neoplasms Image Interpretation, Computer-Assisted Humans Artificial Intelligence
View on PubMed DOI

Deep learning-enabled high-speed, multi-parameter diffuse optical tomography.

Journal of biomedical optics Jul 19, 2024
SIGNIFICANCE: Frequency-domain diffuse optical tomography (FD-DOT) could enhance clinical breast tumor characterization. However, conventional diffuse optical tomography (DOT) image reconstruction algorithms require case-by-case expert tuning and are...
Phantoms, Imaging Tomography, Optical Humans Algorithms Female Breast Neoplasms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Breast
View on PubMed DOI
Popular Topics
Recent Journals