AIMC Topic: Female

Clear Filters Showing 9131 to 9140 of 29210 articles

Automated Three-Dimensional Imaging and Pfirrmann Classification of Intervertebral Disc Using a Graphical Neural Network in Sagittal Magnetic Resonance Imaging of the Lumbar Spine.

Journal of imaging informatics in medicine Sep 12, 2024
This study aimed to develop a graph neural network (GNN) for automated three-dimensional (3D) magnetic resonance imaging (MRI) visualization and Pfirrmann grading of intervertebral discs (IVDs), and benchmark it against manual classifications. Lumbar...
Adult Male Middle Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Lumbar Vertebrae Intervertebral Disc Degeneration Intervertebral Disc Female Reproducibility of Results Aged Young Adult Humans Neural Networks, Computer Retrospective Studies
View on PubMed DOI

Deep Learning for Automated Classification of Hip Hardware on Radiographs.

Journal of imaging informatics in medicine Sep 12, 2024
PURPOSE: To develop a deep learning model for automated classification of orthopedic hardware on pelvic and hip radiographs, which can be clinically implemented to decrease radiologist workload and improve consistency among radiology reports.
Male Deep Learning Radiography Hip Joint Humans Neural Networks, Computer Retrospective Studies Female Arthroplasty, Replacement, Hip Hip Hip Prosthesis
View on PubMed DOI

Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

Journal of imaging informatics in medicine Sep 12, 2024
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothelioma (PM) tumor delineations generated using a convolutional neural network (CNN). One hundred eighty-six CT scans from 48 PM patients were segmented...
Neural Networks, Computer Tomography, X-Ray Computed Female Aged Male Humans Pleural Neoplasms Probability Tumor Burden Middle Aged Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Mesothelioma
View on PubMed DOI

Artificial Intelligence-Based Surgery Support Model Using Intraoperative Radiographs for Assessing the Acetabular Component Angle.

The Journal of arthroplasty Sep 12, 2024
BACKGROUND: This study aimed to develop an artificial intelligence-based surgical support model for assessing the acetabular component angle using intraoperative radiographs during total hip arthroplasty and verify its accuracy.
Humans Artificial Intelligence Tomography, X-Ray Computed Aged, 80 and over Adult Male Female Aged Arthroplasty, Replacement, Hip Hip Prosthesis Middle Aged Acetabulum Radiography Surgery, Computer-Assisted
View on PubMed DOI

Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting.

Ophthalmology. Glaucoma Sep 12, 2024
PURPOSE: This study assesses the diagnostic efficacy of offline Medios Artificial Intelligence (AI) glaucoma software in a primary eye care setting, using nonmydriatic fundus images from Remidio's Fundus-on-Phone (FOP NM-10). Artificial intelligence ...
Visual Fields Rural Population Visual Acuity Ophthalmology Telemedicine Glaucoma Cross-Sectional Studies Artificial Intelligence Intraocular Pressure Humans Prospective Studies Male Female Middle Aged Aged
View on PubMed DOI

Artificial Intelligence Driven Prehospital ECG Interpretation for the Reduction of False Positive Emergent Cardiac Catheterization Lab Activations: A Retrospective Cohort Study.

Prehospital emergency care Sep 12, 2024
OBJECTIVES: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI,...
Artificial Intelligence Algorithms Retrospective Studies Female Humans Emergency Medical Services Myocardial Infarction False Positive Reactions Coronary Occlusion Aged Cardiac Catheterization Male Middle Aged Electrocardiography
View on PubMed DOI

Machine Learning-Based Prediction of Chronic Shunt-Dependent Hydrocephalus After Spontaneous Subarachnoid Hemorrhage.

World neurosurgery Sep 12, 2024
BACKGROUND: Chronic posthemorrhagic hydrocephalus often arises following spontaneous subarachnoid hemorrhage (SAH). Timely identification of patients predisposed to develop chronic shunt-dependent hydrocephalus may significantly enhance clinical outc...
Retrospective Studies Female Aged Subarachnoid Hemorrhage Adult Chronic Disease Male Humans Cerebrospinal Fluid Shunts Middle Aged Machine Learning Hydrocephalus
View on PubMed DOI

Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy.

Annals of surgical oncology Sep 12, 2024
BACKGROUND: Recurrent laryngeal nerve (RLN) palsy is a common complication in esophagectomy and its main risk factor is reportedly intraoperative procedure associated with surgeons' experience. We aimed to improve surgeons' recognition of the RLN dur...
Artificial Intelligence Esophagectomy Prognosis Esophageal Neoplasms Female Vocal Cord Paralysis Lymph Node Excision Male Humans Recurrent Laryngeal Nerve Injuries Minimally Invasive Surgical Procedures Recurrent Laryngeal Nerve Robotic Surgical Procedures
View on PubMed DOI

Image-based ECG analyzing deep-learning algorithm to predict biological age and mortality risks: interethnic validation.

Journal of cardiovascular medicine (Hagerstown, Md.) Sep 12, 2024
BACKGROUND: Cardiovascular risk assessment is a critical component of healthcare, guiding preventive and therapeutic strategies. In this study, we developed and evaluated an image-based electrocardiogram (ECG) analyzing an artificial intelligence (AI...
Heart Disease Risk Factors Seoul Male Aged Humans Cardiovascular Diseases Aged, 80 and over Prognosis Middle Aged Deep Learning Young Adult Female Risk Assessment Electrocardiography Adult Reproducibility of Results Age Factors Predictive Value of Tests
View on PubMed DOI

Recurrent neural network-aided processing of incomplete free induction decays in H-MRS of the brain.

Journal of magnetic resonance (San Diego, Calif. : 1997) Sep 12, 2024
In the case of limited sampling windows or truncation of free induction decays (FIDs) for artifact removal in proton magnetic resonance spectroscopy (H-MRS) and spectroscopic imaging (H-MRSI), metabolite quantification needs to be performed on incomp...
Algorithms Brain Female Adult Humans Male Neural Networks, Computer Artifacts Proton Magnetic Resonance Spectroscopy
View on PubMed DOI
Popular Topics
Recent Journals