Artificial Intelligence
AI Could Help Radiologists Improve Osteoarthritis X-ray Diagnosis
Researchers from the Center for Digital Health Innovation at the University of California have developed a fully automated algorithm for the detection of osteoarthritis with radiographs using the 0–4 Kellgren Lawrence (KL) grading system with a state-of-the-art neural network. More...25 Oct 2018
Study Demonstrates Advantages of AI for Digital Breast Tomosynthesis
A study of digital breast tomosynthesis (DBT) cancer detection software by iCAD, Inc. has demonstrated unprecedented improvements in clinical performance and reading times, validating the substantial benefits of Artificial Intelligence (AI) when used with three-dimensional (3D) mammography. More...25 Oct 2018
Study Finds AI and Radiologists Achieve Better Results Together
A study conducted by researchers from the All India Institutes of Medical Sciences has found that artificial intelligence (AI) and radiologists working together can achieve better results, helping in case-based decision-making. More...25 Oct 2018
GE Healthcare and ESR Enter AI Partnership for ECR 2019
GE Healthcare (Chicago, IL, USA) and the European Society of Radiology (Vienna, Austria) will be partnering on artificial intelligence (AI) for the upcoming European Congress of Radiology (ECR) to be held in Vienna, Austria on February 27-March 3, 2019. The partnership will include joint sessions on AI and a dedicated space at GE Healthcare’s booth where visitors will be able to experience the AI transformation through interactive tools. More...18 Oct 2018
AI-Based Approach Reduces False Positives in Mammography
A team of researchers from the University of Pittsburgh have developed an artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) that could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative. More...18 Oct 2018
Breast Cancer Screening Machine Learning Software Receives CE Mark
A new deep learning-based breast cancer screening software has received the CE mark and will be launched within the UK’s National Health Service (NHS) and European healthcare systems. The software has been developed by Kheiron Medical Technologies, a start-up that combines novel deep learning methods, data science, and radiology expertise to enable diagnostics designed to detect cancers and improve patient outcomes. More...15 Oct 2018
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In Other News
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Chinese AI System Designed to Predict Diabetes Years in Advance
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Researchers Develop AI Algorithm to Predict Immunotherapy Response
Fujifilm and IU School of Medicine to Study AI in Diagnostic Imaging
AI Reliably Identifies Diminutive Polyps During Colonoscopy
AI System Accurately Detects Lung Cancer in CT Scans
American College of Radiology Releases Initial Use Cases in AI Library
New All-Optical System Could Revolutionize Image-Guided Interventions
Machine-Learning Scans Accurately Predict Undiagnosed Dementia
AI-Based Approach to Image Reconstruction Provides Faster and Clearer MRI Scans
New Algorithm Predicts IQ Scores Using fMRI Brain Scans
DeepMind Masters Retinal Disease Detection
Intel and Philips Partner to Speed Up Imaging Analysis Using AI
Facebook Collaborates with NYU School of Medicine to Make MRI Scans Faster
Researchers Develop AI Model to Make Cancer Treatment Less Toxic
Guerbet Partners with Imalogix on Dose Optimization with AI
Deep Learning-Based System Detects and Classifies Mammogram Masses
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.