February 7, 2020 – At the 2019 Radiological Society of North America (RSNA) meeting in December, there was a record number of artificial...
Computer-Aided Detection Software
Computer-aided detection software helps doctors make more accurate diagnosis by assisting in the interpretation of medical images.
-
-
January 22, 2020 — The U.S.
-
GE Healthcare announced the U.S. Food and Drug Administration’s (FDA) 510(k) clearance of Critical Care Suite, a collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF) using GE Healthcare’s Edison platform, the...
-
Editor's Note: This article was updated following the SBI symposium.
-
ITN Editor Dave Fornell and ITN Contributing Editor Greg Freiherr share their insights on the vendors showing artificial intelligence (AI) products or works-in-progress for this key trend during their...
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.
Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D.
February 7, 2020 – At the 2019 Radiological Society of...
Image courtesy of iCAD
News | Computer-Aided Detection Software | January 22, 2020
January 22, 2020 — The U.S. Food and Drug Administration (FDA) has...
The partnership will bring the power of AI to Emergent Connect's growing customer base, leaving zero-footprint on the client side and eliminating the need for on premise installation and local workstation configurations.
News | Artificial Intelligence | October 31, 2019
October 31, 2019 — Zebra Medical Vision, a deep learning medical imaging...
News | Artificial Intelligence | October 24, 2019
October 24, 2019 — Artificial intelligence (AI)...
Image courtesy of NVIDIA
News | Artificial Intelligence | October 23, 2019
October 23, 2019 — To help advance medical research while preserving data privacy and improving patient outcomes for...
News | Artificial Intelligence | October 18, 2019
October 18, 2019 — Medical diagnostic artificial...
News | Artificial Intelligence | October 08, 2019
October 8, 2019 — The Radiological Society of North America (RSNA)...
News | Artificial Intelligence | September 30, 2019
September 30, 2019 — Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how...
Technology | X-Ray | September 12, 2019
September 12, 2019 – GE Healthcare announced the U.S. Food and Drug Administration’s (FDA) 510(k) clearance of Critical...
News | Computer-Aided Detection Software | September 09, 2019
September 9, 2019 — iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top...
News | Artificial Intelligence | September 04, 2019
September 4, 2019 — Global Diagnostics Australia (GDA), a subsidiary of the Integral Diagnostics Group (IDX), has...
News | Artificial Intelligence | August 19, 2019
August 19, 2019 — Lunit has announced Korea Ministry of Food and Drug Safety (MFDS) approval of its...
News | Artificial Intelligence | August 13, 2019
August 13, 2019 — University of California Los Angeles (UCLA) researchers have developed an...
News | Artificial Intelligence | August 05, 2019
August 5, 2019 — Montefiore Nyack Hospital, an acute care hospital in Rockland County, N.Y., announced it is utilizing...
News | Breast Imaging | August 02, 2019
August 2, 2019 — Volpara Solutions and ScreenPoint Medical BV signed an agreement under which Volpara will sell...
News | Artificial Intelligence | July 26, 2019
July 26, 2019 — Oncology company Progenics Pharmaceuticals Inc. announced their collaboration with the Veterans Affairs...
IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.
Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
July 19, 2019 — Breast cancer is the global leading cause of cancer-related deaths in...
Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire.
Technology | Artificial Intelligence | July 18, 2019
July 18, 2019 — Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC,...
News | Mammography | July 10, 2019
July 10, 2019 — Arizona-based SimonMed Imaging announced their implementation of the first U.S. Food and Drug...
