Artificial Intelligence


New AI-Powered Lung Imaging Solution Launched at RSNA 2018
VIDA Diagnostics, Inc, a pulmonary imaging analytics company, launched LungPrint Discovery, an artificial intelligence (AI)-powered lung analysis solution for radiologists, at the Radiological Society of North America's (RSNA) 104th Scientific Assembly and Annual Meeting, held November 25-30 in Chicago, Ill., USA. More...26 Nov 2018

Agfa Brings Intelligent Radiography to RSNA 2018
At RSNA 2018, Agfa-Gevaert NV (Mortsel, Belgium) demonstrated its purpose-built Enterprise Imaging platform with advanced clinical applications that brings radiologists to the forefront with confident decision-making, and improved delivery of patient care. The company demonstrated developments in progress to its Enterprise Imaging platform, previewing how it will serve as the foundation to enable machine learning and evidence-based AI enabling task-based workflow automation, image analysis and predictive analytics. More...26 Nov 2018

Lunit Unveils AI-Based Mammography Solution at RSNA 2018
Lunit, a medical artificial intelligence (AI) software company, showcased its newest AI solution for breast cancer—Lunit INSIGHT for Mammography— at this year's gathering of Radiological Society North America (RSNA), which was held on November 25-30 at McCormick Place in Chicago, Ill., USA. More...26 Nov 2018

Guerbet Showcases Ongoing Collaboration with IBM Watson at Radiology Trade Fair
Guerbet LLC USA, the US affiliate of the global specialist in contrast agents and solutions for medical imaging, featured its digital solutions, including its ongoing collaboration with IBM Watson Health in medical imaging, at the 2018 annual meeting of the Radiological Society of North America (RSNA). More...26 Nov 2018

Fujifilm Showcases New DR Detectors and AI Initiative in Chicago
Fujifilm Medical Systems U.S.A, Inc, a provider of diagnostic imaging and medical informatics solutions, unveiled two new digital radiography (DR) detectors – the CALNEO Dual (available only in Japan) and the FDR ES – at the 2018 Radiological Society of North America (RSNA) annual meeting, November 25-30 in Chicago, Ill., USA. The company also presented, REiLI, its global Medical Imaging and Informatics Artificial Intelligence (AI) technology initiative, as well as hosted an educational symposium focusing on the impact of AI on enterprise imaging now and into the future. More...26 Nov 2018
In Other News
MDW Unveils First Radiology Blockchain Platform at RSNA 2018
Subtle Medical Showcases Al for PET and MRI Scans at RSNA 2018
Philips Launches New Platform to Enable Development of AI Assets
AI Predicts Alzheimer’s Disease Years before Diagnosis
UK to Set Up New GBP 10 Million Centre for Medical Imaging and AI
New AI Algorithm Enhances Polyp Detection in Colonoscopy Procedures
Artificial Intelligence Could Challenge Role of Doctors
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
Philips Launches Start-Up AI Collaboration Program
Automated System Identifies Dense Breast Tissue
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
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
Breast Cancer Screening Machine Learning Software Receives CE Mark
AI Essential for Educating Next Generation of Medical Professionals
AI Algorithm Identifies Abnormal Chest X-Rays
AI Tool Identifies Cancer Type and Changes in Lung Tumor
AI to Save Healthcare Industry over USD 150 Billion by 2025
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.