Industry News
New AI Platform Helps Radiologists Diagnose Stroke Faster Using CT Scans
A new artificial intelligence- (AI) driven stroke detection solution could help radiologists detect and diagnose stroke faster than ever, resulting in patients receiving lifesaving treatment when time is of the essence. More...18 Dec 2018
Launch of AI Incubator to Stimulate Innovation and Drive Adoption
MEDNAX, Inc, and MEDNAX Radiology Solutions has launched the MEDNAX Radiology Solutions Artificial Intelligence (MDR-AI) Incubator, which brings together radiologists, a rich clinical dataset, and a select group of technology partners to stimulate innovation and product development in radiology, thereby improving radiologist’s accuracy and efficiency and quality of patient care. More...18 Dec 2018
Largest-Ever Open-Source Dataset Released to Speed Up MRIs Using AI
The NYU School of Medicine’s Department of Radiology is releasing the first large-scale MRI dataset of its kind as part of fastMRI, a collaborative effort with Facebook AI Research to speed up MRI scans with artificial intelligence (AI). More...18 Dec 2018
![Image: Saliency map of deep learning model Inception V3 on the classification of Alzheimer disease. (a) A representative saliency map with anatomic overlay in 77-year-old man. (b) Average saliency map over 10 percent of Alzheimer’s Disease Neuroimaging Initiative set. (c) Average saliency map over independent test set. The closer a pixel color is to the \"High\" end of the color bar in the image, the more influence it has on the prediction of Alzheimer disease (Photo courtesy of UCSF).](https://globetechcdn.com/mobile_medicalimaging/images/stories/articles/article_images/2018-11-23/SDD-614.jpg "Image: Saliency map of deep learning model Inception V3 on the classification of Alzheimer disease. (a) A representative saliency map with anatomic overlay in 77-year-old man. (b) Average saliency map over 10 percent of Alzheimer’s Disease Neuroimaging Initiative set. (c) Average saliency map over independent test set. The closer a pixel color is to the \\"High\\" end of the color bar in the image, the more influence it has on the prediction of Alzheimer disease (Photo courtesy of UCSF)."){kind=small}
AI Predicts Alzheimer’s Disease Years before Diagnosis
A new study on the application of deep learning (DL) to detect changes in brain metabolism predictive of Alzheimer’s disease (AD) has found that artificial intelligence (AI) improves the ability of brain imaging to predict AD. More...23 Nov 2018
UK to Set Up New GBP 10 Million Centre for Medical Imaging and AI
The UK’s London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare will train sophisticated artificial intelligence (AI) algorithms from NHS medical images and patient data, to create tools that will help clinicians speed up and improve diagnosis and care across a number of patient pathways, including dementia, heart failure and cancer. More...23 Nov 2018
Digital Intelligent Ferromagnetic Detector
Digital Ferromagnetic Detector
Medical Radiographic X-Ray Machine
TR30N HF
Ultrasonic Pocket Doppler
SD1
Digital Color Doppler Ultrasound System
MS22Plus
In Other News
New AI Algorithm Enhances Polyp Detection in Colonoscopy Procedures
Study Finds AI Falls Short When Analyzing Medical Data
New AI Software for Brain Bleed Diagnosis Receives FDA Clearance
ACR Data Science Institute Releases AI Use Cases to Accelerate AI Adoption
Smart POC Tele-ultrasound Devices to Boost Demand in Global Market
Global Radiation Detection Market Driven by Healthcare Facility Demand
ECG Imaging Algorithm Could Help Reduce Invasive Heart Procedures
Philips Launches Start-Up AI Collaboration Program
AI Could Help Radiologists Improve Osteoarthritis X-ray Diagnosis
Study Demonstrates Advantages of AI for Digital Breast Tomosynthesis
Google Tests AI Algorithm to Help Detect Metastatic Breast Cancers
Breast Tomosynthesis Detects More Cancers than Mammography
Study Finds AI and Radiologists Achieve Better Results Together
GE Healthcare and ESR Enter AI Partnership for ECR 2019
AI-Based Approach Reduces False Positives in Mammography
Global DR Detectors Market to Reach USD 2.7 Billion by 2026
AI Algorithm Uses Key Signatures to Predict Onset of AD
Breast Cancer Screening Machine Learning Software Receives CE Mark
Scientists Use Machine Learning and MRI Scans to Predict Learning Difficulties
Utilization of X-Ray Mammography Systems Expected to Increase
Compact Devices Emerge As Segment of Ultrasound Market
AI and fMRI Show How Brain Connects Memories to Solve Problems
AI Tool Identifies Cancer Type and Changes in Lung Tumor
MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.