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Machine Vision Augmentation to Detect Detrusor Overactivity in Overactive Bladder: A Frontier of Artificial Intelligence Application in Functional Urology-Proof of Concept Clinical Study.

Neurourology and urodynamics Apr 1, 2025
INTRODUCTION: Overactive bladder (OAB) is a common urological condition with increasing prevalence, especially in an aging population. Diagnosing and treating OAB can be challenging. While urodynamic study (UDS) is useful to confirm involuntary detru...
Humans Artificial Intelligence Urinary Bladder Urodynamics Urinary Bladder, Overactive Male Middle Aged Cystoscopy Proof of Concept Study Prospective Studies Female Aged Adult
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A public benchmark for human performance in the detection of focal cortical dysplasia.

Epilepsia open Apr 1, 2025
OBJECTIVE: This study aims to report human performance in the detection of Focal Cortical Dysplasias (FCDs) using an openly available dataset. Additionally, it defines a subset of this data as a "difficult" test set to establish a public baseline ben...
Benchmarking Malformations of Cortical Development Focal Cortical Dysplasia Humans Female Adult Male Magnetic Resonance Imaging
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Uncertainty quantification for CT dosimetry based on 10 281 subjects using automatic image segmentation and fast Monte Carlo calculations.

Medical physics Apr 1, 2025
BACKGROUND: Computed tomography (CT) scans are a major source of medical radiation exposure worldwide. In countries like China, the frequency of CT scans has grown rapidly, thus making available a large volume of organ dose information. With modern c...
Tomography, X-Ray Computed Female Aged Adult Humans Automation Radiation Dosage Male Monte Carlo Method Middle Aged Radiometry Deep Learning Uncertainty Image Processing, Computer-Assisted
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Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing.

NeuroImage Apr 1, 2025
Brain age gap, the difference between estimated brain age and chronological age via magnetic resonance imaging, has emerged as a pivotal biomarker in the detection of brain abnormalities. While deep learning is accurate in estimating brain age, the a...
Male Aging Middle Aged Deep Learning Neuroimaging Adolescent Brain Humans Normal Distribution Child Female Uncertainty Image Processing, Computer-Assisted Young Adult Magnetic Resonance Imaging Adult
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A novel skeletal muscle quantitative method and deep learning-based sarcopenia diagnosis for cervical cancer patients treated with radiotherapy.

Medical physics Apr 1, 2025
BACKGROUND: Sarcopenia is associated with decreased survival in cervical cancer patients treated with radiotherapy. Cone-beam computed tomography (CBCT) was widely used in image-guided radiotherapy. Sarcopenia is assessed by the skeletal muscle index...
Sarcopenia Muscle, Skeletal Radiotherapy, Image-Guided Middle Aged Humans Deep Learning Female Cone-Beam Computed Tomography Aged Image Processing, Computer-Assisted Adult Uterine Cervical Neoplasms
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Generation of surgical reports for lymph node dissection during laparoscopic gastric cancer surgery based on artificial intelligence.

International journal of computer assisted radiology and surgery Apr 1, 2025
PURPOSE: This study aimed to develop an artificial intelligence (AI) model for the surgical report output of laparoscopic lymph node dissection in the suprapancreatic region during gastric cancer surgery.
Female Aged Adult Stomach Neoplasms Humans Artificial Intelligence Gastrectomy Video Recording Male Middle Aged Lymph Node Excision Laparoscopy
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Using 3D Convolutional Neural Network and Corvis ST Corneal Dynamic Video for Detecting Forme Fruste Keratoconus.

Journal of refractive surgery (Thorofare, N.J. : 1995) Apr 1, 2025
PURPOSE: To evaluate the performance of a three-dimensional convolutional neural network (3D CNN) in detecting forme fruste keratoconus (FFKC).
Convolutional Neural Networks Young Adult ROC Curve Corneal Topography Humans Adult Video Recording Imaging, Three-Dimensional Neural Networks, Computer Cornea Diagnostic Techniques, Ophthalmological Keratoconus Algorithms Male Female
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Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs.

BMC ophthalmology Apr 1, 2025
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ResNet-101, for screening thyroid eye disease (TED) using frontal face photographs, and to test these models under clinical conditions.
Humans Neural Networks, Computer Graves Ophthalmopathy Female Aged Deep Learning Adult Sensitivity and Specificity Male ROC Curve Middle Aged Face Photography
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Automatic detection of developmental stages of molar teeth with deep learning.

BMC oral health Apr 1, 2025
BACKGROUND: The aim was to fully automate molar teeth developmental staging and to comprehensively analyze a wide range of deep learning models' performances for molar tooth germ detection on panoramic radiographs.
Humans Tooth Germ Neural Networks, Computer Child, Preschool Female Young Adult Child Adult Radiography, Panoramic Male Molar Deep Learning Adolescent
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AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images.

Nature communications Apr 1, 2025
Anomalous aortic origin of the coronary artery (AAOCA) is a rare cardiac condition that can lead to ischemia or sudden cardiac death, yet it is often overlooked or falsely classified in routine coronary CT angiography (CCTA). Here, we developed, vali...
Computed Tomography Angiography Coronary Vessel Anomalies Aged Adult Sensitivity and Specificity Male Middle Aged Imaging, Three-Dimensional Coronary Angiography Coronary Vessels Humans Artificial Intelligence Female
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