CT: Page 124

CuraCloud's AI brain software expands to chest CT
By AuntMinnie.com staff writers
The U.S. Food and Drug Administration (FDA) is allowing medical artificial intelligence (AI) software developer CuraCloud's new deep learning-based algorithm to be used for the detection and prioritization of incidental pneumonia findings associated with COVID-19. The findings stem from noncontrast chest CT images.
May 31, 2020
2020 02 04 18 54 0923 Ct Scan Patient 400
AI can aid radiologists in detecting pancreatic cancer
By Erik L. Ridley
An artificial intelligence (AI) algorithm helped radiologists from Taiwan improve their performance in detecting pancreatic cancer on CT exams, demonstrating strong performance across a range of ethnicities, according to research published online May 26 in Lancet Digital Health.
May 31, 2020
2020 05 28 22 36 8223 Cancer Pancreatic 400
COVID-19 CT findings often negative in children
By Kate Madden Yee
More than three-quarters of chest CT findings in children with laboratory-confirmed COVID-19 disease are negative, according to a study published May 28 in the American Journal of Roentgenology.
May 28, 2020
2020 05 28 19 52 8188 2020 05 28 Ajr Ct Peds2
COVID-19 tied to 2+ hour delay in seeking stroke care
By AuntMinnie.com staff writers
Patients with an ischemic stroke are showing up at hospitals and treatment centers more than two hours later than usual during the COVID-19 pandemic, according to a study published on May 28 in the Journal of NeuroInterventional Surgery.
May 27, 2020
2019 12 18 00 08 6648 Ct Brain Stroke 400
Isolation bag could block COVID-19 infection on CT
By Kate Madden Yee
A simple patient isolation bag made of hypoallergenic plastic polymer could block COVID-19 infection in the CT suite -- and also improve workflow in radiology departments, according to a study published May 25 in Academic Radiology.
May 27, 2020
2020 05 27 20 52 9314 2020 05 28 Protective Bag Ct Covid Fig 2 20200527202424
Quantitative analysis of CT predicts COVID-19 outcomes
By Kate Madden Yee
Quantitative computer-aided analysis of chest CT scans can help clinicians predict COVID-19 outcomes in hospitalized patients by providing information on a new metric: compromised lung volume, according to a preprint article published May 23 on Research Square.
May 26, 2020
2019 10 03 21 39 7441 Lung Virus Bacteria 400
COVID-19 neuro findings marked by mental status, stroke
By Kate Madden Yee
Neuroimaging features of hospitalized COVID-19 patients can vary, but they are dominated by altered mental status and acute ischemic stroke, according to research published May 21 in Radiology.
May 25, 2020
2019 12 18 00 08 6648 Ct Brain Stroke 400
Conebeam CT aids removal of rare ectopic molar in maxillary sinus
By Melissa Busch
Conebeam CT helped clinicians remove an ectopic third molar and an infected cyst from a patient's maxillary sinus, which is a rare site for a tooth to erupt, according to a recent case report published on the open-access platform F1000Research.
May 25, 2020
2020 05 21 16 18 3588 2020 05 20 Ectopic Tooth Cbct 20200519164454
Can machine-learning models predict IR outcomes?
By Erik L. Ridley
Machine-learning algorithms can utilize nonimaging data such as patient demographics and prior medical history to predict outcomes from interventional radiology (IR) procedures, according to research published online May 4 in the Journal of Vascular and Interventional Radiology.
May 21, 2020
2019 02 15 18 26 2638 Interventional Radiology 400
CTA still most common modality for PE diagnosis
By Kate Madden Yee
CT angiography (CTA) remains the most commonly used imaging modality to diagnose pulmonary embolism (PE) across a variety of patients, according to a study published May 16 in Circulation: Cardiovascular Imaging.
May 19, 2020
2018 07 26 18 08 5552 Lungs Red 400
AI boosts CT's COVID-19 diagnostic performance
By Kate Madden Yee
Artificial intelligence (AI) boosts the performance of chest CT when combined with clinical history and laboratory data in diagnosing COVID-19 pneumonia, according to a study published May 19 in Nature Medicine.
May 19, 2020
2020 04 15 20 00 7340 Coronavirus Cells Lungs 400
AI can detect, quantify traumatic brain injury on CT
By Erik L. Ridley
An artificial intelligence (AI) algorithm was able to help accurately detect traumatic brain injury (TBI) on head CT exams, as well as assess the type of injury, quantify lesion burden, and measure lesion progression, U.K. researchers reported in an article published online May 14 in Lancet Digital Health.
May 19, 2020
2020 04 08 22 56 1794 Artificial Intelligence Face 400
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