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Total 258 results found since Jan 2013.
Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage
AbstractWe hypothesized that imaging-only-based machine learning algorithms can analyze non-enhanced CT scans of patients with acute intracerebral hemorrhage (ICH). This retrospective multicenter cohort study analyzed 520 non-enhanced CT scans and clinical data of patients with acute spontaneous ICH. Clinical outcome at hospital discharge was dichotomized into good outcome and poor outcome using different modified Rankin Scale (mRS) cut-off values. Predictive performance of a random forest machine learning approach based on filter- and texture-derived high-end image features was evaluated for differentiation of functional ...
Source: Translational Stroke Research - February 6, 2021 Category: Neurology Source Type: research
AI analysis of SPECT MPI scans can predict future cardiac events
The combination of artificial intelligence (AI) and SPECT myocardial perfusio...Read more on AuntMinnie.comRelated Reading:
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Deep learning advances SPECT MPI
Source: AuntMinnie.com Headlines - June 12, 2021 Category: Radiology Source Type: news
Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance
Cerebral microbleeds (CMBs) are considered essential indicators for the diagnosis of cerebrovascular disease and cognitive disorders. Traditionally, CMBs are manually interpreted based on criteria including the shape, diameter, and signal characteristics after an MR examination, such as susceptibility-weighted imaging or gradient echo imaging (GRE). In this paper, an efficient method for CMB detection in GRE scans is presented.
Source: Journal of Stroke and Cerebrovascular Diseases - June 24, 2021 Category: Neurology Authors: Min Jae Myung, Kyung Mi Lee, Hyug-Gi Kim, Janghoon Oh, Ji Young Lee, Ilah Shin, Eui Jong Kim, Jin San Lee Source Type: research
Janssen Announces U.S. FDA Approval of INVEGA HAFYERA ™(6-month paliperidone palmitate), First and Only Twice-Yearly Treatment for Adults with Schizophrenia
TITUSVILLE, N.J., Sept. 1, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced the U.S. Food and Drug Administration (FDA) has approved long-acting atypical antipsychotic INVEGA HAFYERA™ (6-month paliperidone palmitate), the first-and-only twice-yearly injectable for the treatment of schizophrenia in adults. Before transitioning to INVEGA HAFYERA™, patients must be adequately treated with INVEGA SUSTENNA® (1-month paliperidone palmitate) for at least four months, or INVEGA TRINZA® (3-month paliperidone palmitate) for at least one 3-month injection cycle.1 The FDA approval of INVEGA ...
Source: Johnson and Johnson - September 1, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint
Multi-contrast magnetic resonance (MR) image registration is useful in the clinic to achieve fast and accurate imaging-based disease diagnosis and treatment planning. Nevertheless, the efficiency and performance of the existing registration algorithms can still be improved. In this paper, we propose a novel unsupervised learning-based framework to achieve accurate and efficient multi-contrast MR image registration. Specifically, an end-to-end coarse-to-fine network architecture consisting of affine and deformable transformations is designed to improve the robustness and achieve end-to-end registration. Furthermore, a dual ...
Source: IEE Transactions on Medical Imaging - October 1, 2021 Category: Biomedical Engineering Source Type: research
Bringing WISDOM to Breast Cancer Care
Dr. Laura Esserman answers the door of her bright yellow Victorian home in San Francisco’s Ashbury neighborhood with a phone at her ear. She’s wrapping up one of several meetings that day with her research team at University of California, San Francisco, where she heads the Carol Franc Buck Breast Care Center. She motions me in and reseats herself at a makeshift home office desk in her living room, sandwiched between a grand piano and set of enormous windows overlooking her front yard’s flower garden. It’s her remote base of operations when she’s not seeing patients or operating at the hospita...
Source: TIME: Health - October 22, 2021 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized Source Type: news
Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study
CONCLUSIONS: The proposed study demonstrates a fast, accurate, and reliable solution for early detection and quantification of plaque lesions in common carotid artery ultrasound scans. The system runs on a test US image in < 1 second, proving overall performance to be clinically reliable.PMID:34825801 | DOI:10.23736/S0392-9590.21.04771-4
Source: International Angiology - November 26, 2021 Category: Cardiology Authors: Pankaj K Jain Neeraj Sharma Luca Saba Kosmas I Paraskevas Mandeep K Kalra Amer Johri Andrew N Nicolaides Jasjit S Suri Source Type: research
