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
In Other News
Fujifilm and IU School of Medicine to Study AI in Diagnostic Imaging
VR Tool Increases Efficiency of Brain Scan Analysis
Machine Learning Shows Promise for Supporting Medical Decisions
Philips Launches Artificial Intelligence Platform for Healthcare
Next-Generation CVIS Upgrades Communicability and Security
Researchers Train Model to Identify Breast Lesions
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
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.




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