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Image: A CT image as seen on a Barco E-2620 monitor (A), Samsung Galaxy S8 Plus smartphone (B), and a Lenovo ThinkPad T460s laptop (C) (Photo courtesy of AJR)

Mobile Devices Prove Reliable for Acute Stroke Diagnosis

 A new study shows that interpretation of a computerized tomography (CT) scan on a smartphone or laptop is reliable prior to IV thrombolysis administration in acute stroke patients. More...
25 Feb 2020
Image: A hybrid OR equipped with the Allura Clarity Flexmove robotic C-arm (Photo courtesy of Maquet)

Augmented Reality Surgical Navigation Minimizes Radiation Exposure

 A new study suggests that using an augmented reality surgical navigation (ARSN) system in a hybrid operating room (OR) environment can minimize occupational radiation exposure. More...
24 Feb 2020
Image: Antimicrobial glass reduces touch-screen colonization (Photo courtesy of Cybernet)

Medical Grade Computers Feature Antimicrobial Glass

 New computers designed for health care facilities have antimicrobial properties baked directly into the housing resin and antimicrobial touch glass, for 100% protection. More...
24 Feb 2020
Image: The Varian Probeam proton therapy System (Photo courtesy of Varian)

Adaptive Proton RT Democratizes Cancer Care

 An artificial intelligence (AI)-driven radiotherapy (RT) solution delivers a holistic adaptive treatment experience to improve patient care. More...
20 Feb 2020
Image: Fluorescent markers help identify and remove cancer cells during surgery (Photo courtesy of On Target)

Fluorescent Markers Illuminate Cancer Intraoperatively

 A new study shows that intraoperative fluorescent markers can be used to illuminate and target non-small-cell lung cancer (NSCLC), improving patient outcomes. More...
19 Feb 2020
Image: Artificial intelligence to improve resolution of brain magnetic resonance imaging (Photo courtesy of University of Malaga)

New Artificial Intelligence Algorithm Boosts Quality of Brain Magnetic Resonance Imaging

 Researchers from the ICAI Group – Computational Intelligence and Image Analysis – of the University of Malaga (Málaga, Spain) have designed a method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence (AI). The new model manages to increase image quality from low resolution to high resolution without distorting the patients' brain structures, using a deep learning artificial neural network – a model based on the functioning of the human brain – that "learns" this process. More...
19 Feb 2020
Image: Using Caption, a nurse can perform a cardiac ultrasound without prior experience(Photo courtesy of Caption Health)

AI Guidance Advances Cardiac Ultrasound Acquisition

 Novel software based on artificial intelligence (AI) empowers healthcare personnel, including those without prior ultrasound experience, with the ability to capture diagnostic quality images. More...
18 Feb 2020
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