AIMC Topic: Tomography, X-Ray Computed

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The accuracy of deep learning models for diagnosing maxillary fungal ball rhinosinusitis.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Sep 4, 2024
PURPOSE: To assess the accuracy of deep learning models for the diagnosis of maxillary fungal ball rhinosinusitis (MFB) and to compare the accuracy, sensitivity, specificity, precision, and F1-score with a rhinologist.
Rhinosinusitis Mycoses Maxillary Sinus Sinusitis Rhinitis Chronic Disease Middle Aged Deep Learning ROC Curve Humans Tomography, X-Ray Computed Sensitivity and Specificity Male Female Adult
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Prospective Evaluation of Artificial Intelligence Triage of Intracranial Hemorrhage on Noncontrast Head CT Examinations.

AJR. American journal of roentgenology Sep 4, 2024
Retrospective studies evaluating artificial intelligence (AI) algorithms for intracranial hemorrhage (ICH) detection on noncontrast CT (NCCT) have shown promising results but lack prospective validation. The purpose of this article was to evaluate ...
Aged Aged, 80 and over Adult Prospective Studies Tomography, X-Ray Computed Female Triage Intracranial Hemorrhages Sensitivity and Specificity Male Middle Aged Humans Artificial Intelligence Algorithms
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Computer-aided diagnosis for lung cancer using waterwheel plant algorithm with deep learning.

Scientific reports Sep 4, 2024
Lung cancer (LC) is a life-threatening and dangerous disease all over the world. However, earlier diagnoses and treatment can save lives. Earlier diagnoses of malevolent cells in the lungs responsible for oxygenating the human body and expelling carb...
Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Humans Algorithms Tomography, X-Ray Computed
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Real-time patient-specific-dose in CT through use of artificial intelligence.

Journal of radiological protection : official journal of the Society for Radiological Protection Sep 4, 2024
Humans Artificial Intelligence Tomography, X-Ray Computed Radiation Dosage
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The Effectiveness of Artificial Intelligence-based Pedicle Screw Trajectory Planning in Patients With Different Levels of Bone Mineral Density.

Clinical spine surgery Sep 3, 2024
STUDY DESIGN: Retrospective cohort study.
Pedicle Screws Female Aged Adult Male Middle Aged Lumbar Vertebrae Artificial Intelligence Bone Density Tomography, X-Ray Computed Humans
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A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease.

Tomography (Ann Arbor, Mich.) Sep 3, 2024
BACKGROUND: Cardiovascular disease affects the carotid arteries, coronary arteries, aorta and the peripheral arteries. Radiomics involves the extraction of quantitative data from imaging features that are imperceptible to the eye. Radiomics analysis ...
Atherosclerosis Humans Positron-Emission Tomography Radiomics Machine Learning Computed Tomography Angiography Cardiovascular Diseases Tomography, X-Ray Computed Positron Emission Tomography Computed Tomography
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Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study.

Journal for immunotherapy of cancer Sep 3, 2024
OBJECTIVES: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung cancer (NSCLC), predicting treatment response remains a challenge. We used pretreatment multimodal CT to explore deep learning-based immunochemotherapy...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Male Multimodal Imaging Immunotherapy Neoadjuvant Therapy Carcinoma, Non-Small-Cell Lung Middle Aged Deep Learning Lung Neoplasms
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PCNet: Prior Category Network for CT Universal Segmentation Model.

IEEE transactions on medical imaging Sep 3, 2024
Accurate segmentation of anatomical structures in Computed Tomography (CT) images is crucial for clinical diagnosis, treatment planning, and disease monitoring. The present deep learning segmentation methods are hindered by factors such as data scale...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Better Rough Than Scarce: Proximal Femur Fracture Segmentation With Rough Annotations.

IEEE transactions on medical imaging Sep 3, 2024
Proximal femoral fracture segmentation in computed tomography (CT) is essential in the preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based approaches have been proposed for segmenting various structures within CT scan...
Deep Learning Femur Humans Femoral Fractures Algorithms Tomography, X-Ray Computed Proximal Femoral Fractures
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Machine learning-assisted diagnosis of parotid tumor by using contrast-enhanced CT imaging features.

Journal of stomatology, oral and maxillofacial surgery Sep 2, 2024
PURPOSE: This study aims to develop a machine learning diagnostic model for parotid gland tumors based on preoperative contrast-enhanced CT imaging features to assist in clinical decision-making.
Aged, 80 and over Young Adult Adult Tomography, X-Ray Computed Female Aged Contrast Media Parotid Gland Parotid Neoplasms Male Middle Aged Adolescent Humans Machine Learning Retrospective Studies
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