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Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning.

JCO clinical cancer informatics Dec 9, 2024
PURPOSE: Breast density is a widely established independent breast cancer risk factor. With the increasing utilization of digital breast tomosynthesis (DBT) in breast cancer screening, there is an opportunity to estimate volumetric breast density (VB...
Breast Neoplasms Middle Aged Case-Control Studies Deep Learning Imaging, Three-Dimensional Early Detection of Cancer Mammography Breast Breast Density Humans Retrospective Studies Female Aged Adult
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Radiomics-based machine learning for automated detection of Pneumothorax in CT scans.

PloS one Dec 9, 2024
The increasing complexity of diagnostic imaging often leads to misinterpretations and diagnostic errors, particularly in critical conditions such as pneumothorax. This study addresses the pressing need for improved diagnostic accuracy in CT scans by ...
Male Middle Aged Female Adolescent Aged ROC Curve Pneumothorax Humans Young Adult Machine Learning Adult Algorithms Radiomics Tomography, X-Ray Computed
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Integration of AI-Assisted in Digital Cervical Cytology Training: A Comparative Study.

Cytopathology : official journal of the British Society for Clinical Cytology Dec 8, 2024
OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in digital cervical cytology training.
Sensitivity and Specificity Humans Uterine Cervical Neoplasms Artificial Intelligence Vaginal Smears Cervix Uteri Female Cytodiagnosis Adult
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The application of machine learning for treatment selection of unruptured brain arteriovenous malformations: A secondary analysis of the ARUBA trial data.

Clinical neurology and neurosurgery Dec 8, 2024
OBJECTIVE: To build a supervised machine learning (ML) model that selects the best first-line treatment strategy for unruptured bAVMs.
Male Middle Aged Supervised Machine Learning Intracranial Arteriovenous Malformations Humans Machine Learning Female Adult
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Comparing fully automated AI body composition biomarkers at differing virtual monoenergetic levels using dual-energy CT.

Abdominal radiology (New York) Dec 7, 2024
PURPOSE: To investigate the behavior of artificial intelligence (AI) CT-based body composition biomarkers at different virtual monoenergetic imaging (VMI) levels using dual-energy CT (DECT).
Radiographic Image Interpretation, Computer-Assisted Radiography, Dual-Energy Scanned Projection Male Middle Aged Contrast Media Body Composition Artificial Intelligence Algorithms Biomarkers Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Aged, 80 and over Adult
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Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?

International journal of legal medicine Dec 7, 2024
Fall from a height trauma is characterized by a multiplicity of injuries, related to multiple factors. The height of the fall is the factor that most influences the kinetic energy of the body and appears to be one of the factors that most affects the...
Humans Artificial Intelligence Machine Learning Young Adult Adult Male Middle Aged Accidental Falls Algorithms Retrospective Studies Female Aged Wounds and Injuries Adolescent Decision Trees Principal Component Analysis Linear Models
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The Value of Machine Learning-based Radiomics Model Characterized by PET Imaging with Ga-FAPI in Assessing Microvascular Invasion of Hepatocellular Carcinoma.

Academic radiology Dec 7, 2024
RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibroblast activation protein inhibitors (FAPI) positron emission tomography (PET) imaging to predict microvascular invasion (MVI) of hepatocellular carcinoma...
Positron-Emission Tomography Quinolines Gallium Radioisotopes Microvessels Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Invasiveness Humans Radiopharmaceuticals Machine Learning Retrospective Studies Female Aged Adult Radiomics Male Middle Aged
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A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.

International journal of medical informatics Dec 7, 2024
This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-resistant Klebsiella pneumoniae infection in intensive care units using the Extreme Gradient Boosting (XGBoost) algorithm, a form of artificial intellig...
Aged Adult Male Middle Aged Case-Control Studies Drug Resistance, Bacterial Carbapenem-Resistant Enterobacteriaceae Retrospective Studies Humans Intensive Care Units Klebsiella pneumoniae Machine Learning Female Klebsiella Infections Algorithms Turkey Anti-Bacterial Agents Carbapenems
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Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Dec 6, 2024
BACKGROUND: Previous studies explored MRI-based radiomic features for differentiating between human epidermal growth factor receptor 2 (HER2)-zero, HER2-low, and HER2-positive breast cancer, but deep learning's effectiveness is uncertain.
Breast Image Interpretation, Computer-Assisted Receptor, ErbB-2 Aged Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Deep Learning Humans ROC Curve Retrospective Studies Contrast Media Female Magnetic Resonance Imaging Reproducibility of Results
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Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm.

Journal of applied clinical medical physics Dec 6, 2024
BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to reduce the heart dose in left breast cancer radiotherapy. Many times, it is faced that despite rigorous exercise and training, not all patients get bene...
Algorithms Female Adult Breast Neoplasms Middle Aged Radiotherapy Planning, Computer-Assisted Heart Radiotherapy Dosage Feasibility Studies Humans Radiotherapy, Intensity-Modulated Supervised Machine Learning Breath Holding Organs at Risk Unilateral Breast Neoplasms
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