AIMC Topic: Humans

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MRI-based prostate cancer classification using 3D efficient capsule network.

Medical physics Feb 12, 2024
BACKGROUND: Prostate cancer (PCa) is the most common cancer in men and the second leading cause of male cancer-related death. Gleason score (GS) is the primary driver of PCa risk-stratification and medical decision-making, but can only be assessed at...
Imaging, Three-Dimensional Humans Neural Networks, Computer Magnetic Resonance Imaging Male Prostatic Neoplasms
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Accuracy of Online Artificial Intelligence Models in Primary Care Settings.

American journal of preventive medicine Feb 12, 2024
INTRODUCTION: The importance of preventive medicine and primary care in the sphere of public health is expanding, yet a gap exists in the utilization of recommended medical services. As patients increasingly turn to online resources for supplementary...
Preventive Medicine Humans Artificial Intelligence Surveys and Questionnaires Primary Health Care Internet
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Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.

American journal of ophthalmology Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
Visual Field Tests Algorithms Optic Nerve Diseases Retrospective Studies Glaucoma, Open-Angle Female Aged Disease Progression Nerve Fibers Humans Deep Learning Optic Disk Intraocular Pressure Glaucoma ROC Curve Retinal Ganglion Cells Vision Disorders Male Follow-Up Studies Visual Fields Area Under Curve Middle Aged Tomography, Optical Coherence
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Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning models.

Heart rhythm Feb 12, 2024
BACKGROUND: Machine learning (ML) models have been proposed to predict risk related to transvenous lead extraction (TLE).
Humans Neural Networks, Computer Machine Learning Biomarkers Defibrillators, Implantable Male Vena Cava, Superior Middle Aged Risk Assessment Retrospective Studies Device Removal Female Aged
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Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.

Journal of imaging informatics in medicine Feb 12, 2024
Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal defect (ASD) examination. This paper aims to study a deep learning method b...
Double-Blind Method Video Recording Image Interpretation, Computer-Assisted Heart Septal Defects, Atrial Adolescent Child, Preschool Child Humans Female Male Echocardiography Infant Deep Learning
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Overcoming the Challenge of Accurate Segmentation of Lung Nodules: A Multi-crop CNN Approach.

Journal of imaging informatics in medicine Feb 12, 2024
Lung nodules are generated based on the growth of small and round- or oval-shaped cells in the lung, which are either cancerous or non-cancerous. Accurate segmentation of these nodules is crucial for early detection and diagnosis of lung cancer. Howe...
Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Lung Lung Neoplasms Solitary Pulmonary Nodule
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Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study.

Journal of imaging informatics in medicine Feb 12, 2024
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparametric MRI to differentiate the pathological subtypes of brain metastasis (BM) in lung cancer patients. This retrospective analysis collected 246 patient...
Retrospective Studies Female Aged Adult Humans Brain Deep Learning ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Brain Neoplasms Male Middle Aged Small Cell Lung Carcinoma Magnetic Resonance Imaging Feasibility Studies Image Interpretation, Computer-Assisted
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MOTC: Abdominal Multi-objective Segmentation Model with Parallel Fusion of Global and Local Information.

Journal of imaging informatics in medicine Feb 12, 2024
Convolutional Neural Networks have been widely applied in medical image segmentation. However, the existence of local inductive bias in convolutional operations restricts the modeling of long-term dependencies. The introduction of Transformer enables...
Databases, Factual Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Humans Neural Networks, Computer Algorithms
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Predicting suicide risk in real-time crisis hotline chats integrating machine learning with psychological factors: Exploring the black box.

Suicide & life-threatening behavior Feb 12, 2024
BACKGROUND: This study addresses the suicide risk predicting challenge by exploring the predictive ability of machine learning (ML) models integrated with theory-driven psychological risk factors in real-time crisis hotline chats. More importantly, w...
Humans Machine Learning Female Risk Factors Suicide Prevention Suicide Natural Language Processing Adult Hotlines Male Middle Aged Risk Assessment
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Deep learning for automatic detection of cephalometric landmarks on lateral cephalometric radiographs using the Mask Region-based Convolutional Neural Network: a pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 12, 2024
OBJECTIVE: We examined the effectiveness and feasibility of the Mask Region-based Convolutional Neural Network (Mask R-CNN) for automatic detection of cephalometric landmarks on lateral cephalometric radiographs (LCRs).
Cephalometry Feasibility Studies Male Humans Deep Learning Neural Networks, Computer Pilot Projects Female Anatomic Landmarks
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