We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Ampronix,  Inc

Download Mobile App

Artificial Intelligence

Image: Research shows machine learning has the potential to advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality (Photo courtesy of Axis Imaging News).

AI Approach Lowers Radiation Exposure from CT Imaging

Engineers at the Rensselaer Polytechnic Institute worked along with radiologists at Massachusetts General Hospital and Harvard Medical School to demonstrate that machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. More...
06 Jul 2019
Image: The new AI-based method has substantially higher sensitivity than conventional, radiologist-derived measures permit (Photo courtesy of Shutterstock).

New AI-based Method Detects Brain Response to MS Treatment

Researchers at University College London and King's College London have developed a new artificial intelligence (AI)-based method for detecting the brain's response to treatment in multiple sclerosis (MS). More...
06 Jul 2019
Image: A new study suggests that computer algorithms can identify skin lesions better than expert dermatologists (Photo courtesy of MedUni Vienna/ Shutterstock).

AI Outperforms Humans in Diagnosis of Skin Lesions

A new study shows that artificial intelligence (AI) machine-learning (ML) classifiers outperform human experts in the diagnosis of pigmented skin lesions. More...
26 Jun 2019
Image: New research outlines the challenges, opportunities and priorities for foundational research in AI for medical imaging (Photo courtesy of ABM).

ACR Releases Second Research Road Map on Medical Imaging AI

The Journal of the American College of Radiology (JACR) has published a report detailing real-world artificial intelligence (AI) challenges and summarizing the priorities for translational research in AI for medical imaging to help accelerate the safe and effective use of AI in clinical practice. More...
24 Jun 2019
Image: In this brain scan, the location of an aneurysm is indicated by HeadXNet using a transparent red highlight (Photo courtesy of Allison Park).

New AI Tool Helps Detect Brain Aneurysms On CT Angiography Exams

Researchers from Stanford University have developed an artificial intelligence (AI) tool that can help radiologists improve their diagnoses of brain aneurysms by highlighting the areas of a brain scan that are likely to contain an aneurysm. More...
24 Jun 2019
Image: Intelerad has committed 75 million to R&D for new AI and cloud-based medical imaging software solutions (Photo courtesy of Intelerad).

Intelerad to Invest USD 75 Million in New AI Medical Imaging Offerings

Intelerad Medical Systems, a medical imaging software provider that specializes in diagnostic viewing, reporting and collaboration solutions, has announced a USD 75 million R&D investment towards extending its solutions portfolio. More...
22 Jun 2019
A child with Kabuki Syndrome (Photo courtesy of Wikimedia).

Artificial Intelligence Helps Detect Rare Diseases

 A new study suggests that an artificial intelligence (AI) neural network can be used to automatically combine portrait photos and genetic data to diagnose rare diseases more efficiently. More...
18 Jun 2019

 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.
Copyright © 2000-2020 Globetech Media. All rights reserved.