Imaging IT
Researchers Develop AI Algorithm to Predict Immunotherapy Response
A team of French researchers have designed an algorithm and developed it to analyze Computed Tomography (CT) scan images, establishing for the first time that artificial intelligence (AI) can process medical images to extract biological and clinical information. The researchers have created a so-called radiomic signature, which defines the level of lymphocyte infiltration of a tumor and provides a predictive score for the efficacy of immunotherapy in the patient. More...12 Sep 2018
Fujifilm and IU School of Medicine to Study AI in Diagnostic Imaging
Fujifilm Corporation has entered into a joint research agreement with Indiana University School of Medicine to develop the application of artificial intelligence (AI) in medical imaging diagnostic support systems. More...12 Sep 2018
VR Tool Increases Efficiency of Brain Scan Analysis
Researchers at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of University of Southern California have designed a virtual reality (VR) tool for correcting errors in brain scan data. The tool named Virtual Brain Segmenter (VBS) transforms a tedious step in the scientific process into an immersive experience and significantly increases the efficiency of brain scan analysis. More...06 Sep 2018
Machine Learning Shows Promise for Supporting Medical Decisions
A number of studies presented at the 67th Annual Scientific Session of the American College of Cardiology demonstrated how machine learning can be used to accurately predict clinical outcomes in patients with known or potential heart problems. The findings of these studies indicate that machine learning can usher in a new era in digital health care tools capable of enhancing health care delivery by aiding routine processes and helping physicians to assess the patients’ risk. More...05 Apr 2018
Philips Launches Artificial Intelligence Platform for Healthcare
Royal Philips has launched HealthSuite Insights, including the Insights Marketplace, to support the advancing adoption of analytics and artificial intelligence (AI) in key healthcare domains. HealthSuite Insights, which made its debut at the 2018 HIMSS Conference & Exhibition (HIMSS18), gives data scientists, software developers, clinicians and healthcare providers access to advanced analytic capabilities to curate and analyze healthcare data, and offers them tools and technologies to build, maintain, deploy and scale AI-based solutions. Insights Marketplace will provide the healthcare industry's first ecosystem where curated AI assets from Philips and others are readily available for license. More...05 Apr 2018
In Other News
New Teleradiology Network Appliance Deployed in Australia
New Software Enables Virtual Dissection of Human Anatomy
Study Shows Electronic HIE Could Save Billions in Healthcare Costs
Upgrade Enables Searches across Multiple Clinical Archives
Annual Mammogram Proves Most Effective to Prevent Cancer
New PACS Modules with Enhanced Workflows Released
Enterprise Imaging Viewer Receives Clearance for Additional Apps
3D Data Used to Visualize Cardiac Conductive System
Surgeons Perform MIS in Hybrid OR with Robot System
Groundbreaking Medical Education and Clinical Training Portal Installed
First Surgical Use of 3D Reality System
3D Models Improve Outcomes for Heart Surgery Patients
FDA Clears Specialty Applications for Radiology Platform
Massive Imaging Database Created to Aid Research
Agreement Signed for Updated MR Workflow Solution
New Software to Reduce Effects of Scatter Radiation
Surgical Navigation System Facilitates Neurosurgery Procedures
First Digital Pathology Solution Receives FDA Clearance
Myelin Volume Measurement Tool Receives CE Mark
Study Shows How Deep Learning and AI Diagnose TB
New Technologies Help Clinicians Identify Head Trauma and Stroke
Updated Cardiology Platform Supports Additional Specialties
Clinical Trials Show Benefits of iFR Compared to FFR
The Imaging IT Channel of MedImaging speaks the language of PACS, RIS, and DICOM, and other healthcare IT elements without which contemporary clinical imaging would be impossible.