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AI

Image: At ECR 2019, GE and the European Society of Radiology will offer joint sessions on artificial intelligence (AI) (Photo courtesy of GE Healthcare).

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
Image: A new study claims artificial intelligence (AI) can help radiologists distinguish false-positive mammograms from malignant and negative mammograms (Photo courtesy of iStock).

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
Italray
Image: The breast cancer screening software is intended to detect cancer at an earlier stage, as well as reduce radiation dose and the number of invasive biopsies (Photo courtesy of iStock).

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
Image: A new study asserts that future medical education should include AI and machine learning (Photo courtesy of Getty Images).

AI Essential for Educating Next Generation of Medical Professionals

A new viewpoint study suggests that educating the next generation of medical professionals with the right machine learning (ML) techniques will enable them to become part of the emerging data science revolution. More...
08 Oct 2018
Image: AI algorithms match radiologists in detecting pathologies on chest X-rays and CT (Photo courtesy of Qure.ai).

AI Algorithm Identifies Abnormal Chest X-Rays

A clinical validation study confirms that an artificial intelligence (AI) driven algorithm can differentiate between normal and abnormal x-rays with unprecedented accuracy. More...
01 Oct 2018
Image: An AI tool analyzes a slice of cancerous tissue to create a map that tells apart two lung cancer types, with squamous cell carcinoma in red, lung squamous cell carcinoma in blue, and normal lung tissue in gray (Photo courtesy of Cision).

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
Image: AI in healthcare is expected to generate savings of USD 150 billion by 2025 (Photo courtesy of Shutterstock).

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
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 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.
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