Results 1 to 10 of about 655,780 (395)

Automated chest CT three-dimensional quantification of body composition: adipose tissue and paravertebral muscle [PDF]

Scientific Reports
This retrospective study developed an automated algorithm for 3D segmentation of adipose tissue and paravertebral muscle on chest CT using artificial intelligence (AI) and assessed its feasibility.
Akinori Hata, Yohei Muraguchi, Minoru Nakatsugawa, Xinan Wang, Jiyeon Song, Noriaki Wada, Takuya Hino, Kota Aoyagi, Masami Kawagishi, Takuo Negishi, Vladimir I. Valtchinov, Mizuki Nishino, Akihiro Koga, Naoki Sugihara, Masahiro Ozaki, Gary M. Hunninghake, Noriyuki Tomiyama, Mark L. Schiebler, Yi Li, David C. Christiani, Hiroto Hatabu   +20 more
doaj   +2 more sources

Efficacy of compressed sensing and deep learning reconstruction for adult female pelvic MRI at 1.5 T [PDF]

European Radiology Experimental
Background We aimed to determine the capabilities of compressed sensing (CS) and deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) for improving image quality while reducing examination time on female pelvic 1.5-T ...
Takahiro Ueda, Kaori Yamamoto, Natsuka Yazawa, Ikki Tozawa, Masato Ikedo, Masao Yui, Hiroyuki Nagata, Masahiko Nomura, Yoshiyuki Ozawa, Yoshiharu Ohno   +9 more
doaj   +2 more sources

Biologically Informed Clot Histomics Are Predictive of Acute Ischemic Stroke Etiology

Stroke: Vascular and Interventional Neurology, 2023
Background Toward development of diagnostics for cryptogenic stroke, we hypothesize that histomic features of stroke blood clots retrieved by mechanical thrombectomy could be used to delineate stroke etiology.
Tatsat R. Patel, Briana A. Santo, TaJania D. Jenkins, Muhammad Waqas, Andre Monteiro, Ammad Baig, Elad I. Levy, Jason M. Davies, Kenneth V. Snyder, Adnan H. Siddiqui, John Kolega, John Tomaszewski, Vincent M. Tutino   +12 more
doaj   +1 more source

“All that You Touch, You Change”: Expanding the Canon of Speculative Design Towards Black Futuring

International Conference on Human Factors in Computing Systems, 2022
Traditional approaches to technology design have historically ignored Blackness in both who engages and conceptualizes future technologies. Design contributions of groups marginalized along race and class are often othered, and rarely considered the ...
Christina N. Harrington, Shamika Klassen, Yolanda A. Rankin   +2 more
semanticscholar   +1 more source

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters

Frontiers in Digital Health, 2023
IntroductionThrombolysis treatment for acute ischaemic stroke can lead to better outcomes if administered early enough. However, contraindications exist which put the patient at greater risk of a bleed (e.g. recent major surgery, anticoagulant medication)
Murray Cutforth, Hannah Watson, Cameron Brown, Chaoyang Wang, Stuart Thomson, Dickon Fell, Vismantas Dilys, Morag Scrimgeour, Patrick Schrempf, James Lesh, Keith Muir, Alexander Weir, Alison Q O’Neil, Alison Q O’Neil   +13 more
doaj   +1 more source

Vascular Cross‐Section, Rather Than Tortuosity, Can Classify First‐Pass Outcome of Mechanical Thrombectomy for Ischemic Stroke

Stroke: Vascular and Interventional Neurology, 2023
Background Vascular geometry plays an important role in stroke thrombectomy outcomes, but few studies have examined complex characteristics of vessel morphology.
Seyyed Mostafa Mousavi Janbeh Sarayi, Briana A. Santo, Muhammad Waqas, Andre Monterio, Sricharan S. Veeturi, TaJania D. Jenkins, Elad I. Levy, Adnan H. Siddiqui, Vincent M. Tutino   +8 more
doaj   +1 more source

Identification of intima-to-media signals for flow-induced vascular remodeling using correlative gene expression analysis

Scientific Reports, 2021
Changes in blood flow can induce arterial remodeling. Intimal cells sense flow and send signals to the media to initiate remodeling. However, the nature of such intima-media signaling is not fully understood.
John Kolega, Kerry E. Poppenberg, Hee-Woong Lim, Liza C. Gutierrez, Sricharan S. Veeturi, Adnan H. Siddiqui, Hamidreza Rajabzadeh-Oghaz, Vincent M. Tutino   +7 more
doaj   +1 more source

Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports

Machine Learning and Knowledge Extraction, 2021
Training medical image analysis models traditionally requires large amounts of expertly annotated imaging data which is time-consuming and expensive to obtain. One solution is to automatically extract scan-level labels from radiology reports. Previously,
Patrick Schrempf, Hannah Watson, Eunsoo Park, Maciej Pajak, Hamish MacKinnon, Keith W. Muir, David Harris-Birtill, Alison Q. O’Neil   +7 more
doaj   +1 more source

Epigenetic landscapes of intracranial aneurysm risk haplotypes implicate enhancer function of endothelial cells and fibroblasts in dysregulated gene expression

BMC Medical Genomics, 2021
Background Genome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with increased risk for intracranial aneurysm (IA). However, how such variants affect gene expression within IA is poorly understood.
Kerry E. Poppenberg, Haley R. Zebraski, Naval Avasthi, Muhammad Waqas, Adnan H. Siddiqui, James N. Jarvis, Vincent M. Tutino   +6 more
doaj   +1 more source

Automated analysis method to assess pulmonary blood flow distribution using conventional X-ray angiography

Scientific Reports, 2022
Quantitative assessment of the right-to-left ratio of pulmonary blood flow distribution is important for determining the clinical indications for treating pulmonary arterial branch stenosis.
Takuya Sakaguchi, Yuichiro Watanabe, Masashi Hirose, Kohta Takei, Satoshi Yasukochi   +4 more
doaj   +1 more source