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Automated Feeder-Detection Software for Renal Cell Carcinoma Embolization: A Retrospective Evaluation of Detection Rate Using Transarterial Time-Resolved Computed Tomography Angiography
PurposeTo evaluate the detection rate of feeding arteries in renal cell carcinoma with automated feeder-detection software and determine the optimal...
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Automated detection of incidental abdominal aortic aneurysms on computed tomography
PurposeTo detect and assess abdominal aortic aneurysms (AAAs) on CT in a large asymptomatic adult patient population using fully-automated deep...
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Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG
BackgroundSpreading depolarizations (SDs) are a biomarker and a potentially treatable mechanism of worsening brain injury after traumatic brain...
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Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography
PurposeScanning path planning is an essential technology for fully automated ultrasound (US) robotics. During biliary scanning, the subcostal...
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An Automated Vertebrae Localization, Segmentation, and Osteoporotic Compression Fracture Detection Pipeline for Computed Tomographic Imaging
Osteoporosis is the most common chronic metabolic bone disease worldwide. Vertebral compression fracture (VCF) is the most common type of...
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Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence
We present a robust insulin delivery system that includes automated meal detection and carbohydrate content estimation using machine learning for...
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An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing age-related spindle decline
BackgroundSleep spindle activity is commonly estimated by measuring sigma power during stage 2 non-rapid eye movement (NREM2) sleep. However,...
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Automated detection of IVC filters on radiographs with deep convolutional neural networks
PurposeTo create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen...
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Automated detection of steps in videos of strabismus surgery using deep learning
BackgroundLearning to perform strabismus surgery is an essential aspect of ophthalmologists’ surgical training. Automated classification strategy for...
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Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs
ObjectivesTo develop and validate an artificial intelligence (AI) system for measuring and detecting signs of carpal instability on conventional...
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Deep learning algorithm (YOLOv7) for automated renal mass detection on contrast-enhanced MRI: a 2D and 2.5D evaluation of results
IntroductionAccurate diagnosis and treatment of kidney tumors greatly benefit from automated solutions for detection and classification on MRI. In...
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Automated detection of fatal cerebral haemorrhage in postmortem CT data
During the last years, the detection of different causes of death based on postmortem imaging findings became more and more relevant. Especially...
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Comparison between central and automated peripheral blood pressure measurement for early detection of kidney dysfunction in hypertensive patients
BackgroundThere is a close relationship between blood pressure levels and the risk of cardiovascular events, strokes, and kidney disease. For many...
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Automated detection of cognitive impairment in clinical practice
ObjectiveCognitive impairment is now recognized as an impending public health crisis. About one-third of adults are concerned about their cognition,...
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Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study
BackgroundAutomated Breast Ultrasound (AB US) has shown good application value and prospects in breast disease screening and diagnosis. The aim of...
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Automated signal intensity analysis of the spinal cord for detection of degenerative cervical myelopathy — a matched-pair MRI study
PurposeDetection of T2 hyperintensities in suspected degenerative cervical myelopathy (DCM) is done subjectively in clinical practice. To gain...
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Automated Seizure Detection in Patients with Cardiac Arrest: A Retrospective Review of Ceribell™ Rapid-EEG Recordings
BackgroundIn patients with cardiac arrest who remain comatose after return of spontaneous circulation, seizures and other abnormalities on...
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Automated detection of cardiac rest period for trigger delay calculation for image-based navigator coronary magnetic resonance angiography
BackgroundCoronary magnetic resonance angiography (coronary MRA) is increasingly being considered as a clinically viable method to investigate...
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Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessment
BackgroundDeep learning is a promising technique to improve radiological age assessment. However, expensive manual annotation by experts poses a...
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Automated volumetric assessment of pituitary adenoma
PurposeAssessment of pituitary adenoma (PA) volume and extent of resection (EOR) through manual segmentation is time-consuming and likely suffers...
