Artificial Intelligence
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
AI Tool Identifies Cancer Type and Changes in Lung Tumor
Researchers from the NYU School of Medicine have developed a new computer program that can analyze the images of patients' lung tumors, specify cancer types, and even identify altered genes driving abnormal cell growth. In their study, the researchers found that the artificial intelligence (AI), or "machine learning," program could distinguish -- with 97% accuracy -- between adenocarcinoma and squamous cell carcinoma, two lung cancer types that experienced pathologists at times struggle to parse without confirmatory tests. Additionally, the study found that the AI was also able to determine from analyzing the images whether the abnormal versions of six genes linked to lung cancer – including EGFR, KRAS and TP53 – were present in cells, with an accuracy ranging from 73% to 86%, depending upon the gene. More...01 Oct 2018
AI to Save Healthcare Industry over USD 150 Billion by 2025
Artificial Intelligence (AI)-enabled solutions offer real-world benefits such as automated disease prediction, personalization of treatment pathways, intuitive claims management, and real-time supply chain management to ensure higher profitability and sustained competitive advantage for payers, providers and pharmaceutical enterprises. In spite of these benefits, their uptake in healthcare IT has been slow on account of strategic and technological challenges, with only 15-20% of end users actively using AI to bring about a real change in the way they deliver healthcare. More...01 Oct 2018
Chinese AI System Designed to Predict Diabetes Years in Advance
4 Paradigm, a technology company, is working with Ruijin Hospital to develop a new artificial intelligence (AI) system that will help them to identify patients at risk of developing diabetes up to 15 years in advance. The model named Ruining Knows Sugar, or Ruining Zhitang in Chinese, has achieved an accuracy rate of 88% in tests. More...24 Sep 2018
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In Other News
AI Applied to Micro-Ultrasound Could Speed Cancer Detection
AI Program Could Aid Decision-Making in Medical Imaging
Tetris-Like Program Could Speed Up Breast Cancer Detection
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
AI Software for Restoring Photos Could Find Use in Medical Imaging
Video Conference Could Facilitate Relationships between Radiologists and ICU Clinicians
FDA Gives Clearance to World's First Deep-Learning Solution to Assist Workflow Triage
Deep Learning-Based System Detects Lesions in Knee MR Images
New AI Software Cuts Radiation Therapy Planning Time
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.