December 30, 2022 — NeuroLogica Corp., a subsidiary of Samsung Electronics Co. Ltd., announced the first installation of ...
Cardiac Imaging
The cardiac imaging channel includes the modalities of computed tomography (CT), cardiac ultrasound (echocardiography), magnetic resonance imaging (MRI), nuclear imaging (PET and SPECT), and angiography.
December 30, 2022
December 22, 2022 — New research findings have revealed an underlying genetic cause for why some children who have had C ...
December 22, 2022
Late-breaking clinical trials for the American College of Cardiology’s Annual Scientific Session Together with World ...
December 20, 2022Sponsored Content
Feature
SPONSORED CONTENT — Studycast is a comprehensive imaging workflow system that allows healthcare professionals to work ...
June 17, 2025
December 8, 2022 — Butterfly Network, Inc., a digital health company transforming care with handheld, whole-body ultraso ...
December 08, 2022
December 5, 2022 — Imagen Technologies, Inc. announced the U.S. Food and Drug Administration's 510(k) clearance of the ...
December 05, 2022
November 29, 2022 — Researchers have developed a deep learning model that uses a single chest X-ray to predict the 10 ...
November 29, 2022Sponsored Content
Feature | Cardiac Imaging
Cardiac positron emission tomography (PET) is growing in popularity among cardiologists because it provides the ability ...
March 05, 2024
November 28, 2022 – UltraSight, an Israeli-based digital health pioneer transforming cardiac imaging through the power ...
November 28, 2022
November 28, 2022 — Konica Minolta Healthcare Americas, Inc., a leader in medical diagnostic imaging and healthcare ...
November 28, 2022
November 23, 2022 — Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today ...
November 23, 2022Sponsored Content
Blog | Enterprise Imaging
As medical advancements continue to push the boundaries of what is possible in the field of structural heart ...
August 10, 2023![Figure 1. Flow chart of machine learning workflow. A machine learning (ML) model for the prediction of vessel-specific ischemia was built, trained, and tuned in the NXT trial (Analysis of Coronary Blood Flow using CT Angiography: Next Steps). The model’s predictive performance was evaluated in the PACIFIC trial (Prospective Comparison of Cardiac Positron Emission Tomography [PET]/Computed Tomography [CT]‚ Single Photon Emission Computed Tomography [SPECT]/CT Perfusion Imaging and CT Coronary Angiography wit](/sites/default/files/styles/content_feed_medium/public/Figure1.jpg?itok=Gz8S08BV)
November 17, 2022 — Cedars-Sinai investigators and colleagues have developed an artificial intelligence (AI) tool that ...
November 17, 2022
November 17, 2022 — HeartVista, a pioneer in AI-assisted MRI solutions, and Siemens Healthineers, a global leader in ...
November 17, 2022
November 16, 2022Sponsored Content
Feature | Cardiac Imaging
Discover the key features of cardiovascular structured reporting that drive adoption, including automated data flow, EHR ...
November 07, 2022
November 9, 2022 — According to an accepted manuscript published in ARRS’ American Journal of Roentgenology (AJR), left ...
November 09, 2022
Feature | Angiography | By Bhvita Jani
The world market for interventional X-ray and mobile C-arm equipment is forecast to reach over $4.9 billion by 2026 ...
November 09, 2022
Feature | Magnetic Resonance Imaging (MRI) | By Christine Book
Interventional cardiologists know well the phrase “change is the only constant.” This is especially relevant as ...
November 09, 2022© Copyright Wainscot Media. All Rights Reserved.
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