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Image: A new advanced ultrasound imaging technique is being combined with artificial intelligence to improve the detection of prostate cancer (Photo courtesy of Exact Imaging).

AI Applied to Micro-Ultrasound Could Speed Cancer Detection

Cambridge Consultants and Exact Imaging are working together to improve the way prostate cancer is visualized and detected by applying deep learning to high-resolution micro-ultrasound imaging. This can help identify potential suspicious regions of tissue and inform urologists who may want to consider this additional data in their biopsy protocol. The early results of their work have been promising. More...
24 Sep 2018
Image: The Explainable Artificial Intelligence (XAI) program can help with decision-making in various medical fields (Photo courtesy of Raytheon BBN Technologies).

AI Program Could Aid Decision-Making in Medical Imaging

Researchers are developing a first of its kind neural network that explains itself and could help with decision-making in the medical field, among others. Raytheon BBN Technologies is developing the neural network under the Defense Research Project Agency's (DARPA) Explainable Artificial Intelligence program (XAI). The aim of the XAI program is to create a suite of machine learning techniques, which produce more explainable models while maintaining a high level of performance. It also aims to help human users understand, appropriately trust and effectively manage the emerging generation of artificially intelligent partners. More...
24 Sep 2018
Image: A three-dimensional culture of human breast cancer cells, with DNA stained blue and a protein in the cell surface membrane stained green (Photo courtesy of Tom Misteli, Ph.D., and Karen Meaburn, Ph.D / NIH IRP).

Tetris-Like Program Could Speed Up Breast Cancer Detection

A fully automated medical image analysis program to detect breast tumors that uses a unique style to focus on the affected area is being developed by researchers from the University of Adelaide’s Australian Institute for Machine Learning. Using artificial intelligence (AI), the autonomous program in conjunction with an MRI scan employs the traversal movement and style of a retro video game to examine the breast area. More...
24 Sep 2018
Image: The digital x-ray market is expected to grow from over 8 billion in 2018 to more than 13 billion by 2023 (Photo courtesy of Carestream Health).

Digital X-ray Market to Reach USD 13 Billion by 2023

The digital X-ray market is expected to grow at a CAGR of 8.5% from USD 8.68 billion in 2018 to USD 13.04 billion by 2023, driven by a growing geriatric population and resultant increase in the incidence of global diseases, favorable regulations and government initiatives & investments, increased advantages of digital X-ray systems, and technological advancements and product development. More...
18 Sep 2018

Researchers Develop AI Algorithm to Predict Immunotherapy Response

A team of French researchers have designed an algorithm and developed it to analyze Computed Tomography (CT) scan images, establishing for the first time that artificial intelligence (AI) can process medical images to extract biological and clinical information. The researchers have created a so-called radiomic signature, which defines the level of lymphocyte infiltration of a tumor and provides a predictive score for the efficacy of immunotherapy in the patient. More...
12 Sep 2018
Image: Researchers are working to develop the application of AI in medical imaging diagnostics (Photo courtesy of Digital Health).

Fujifilm and IU School of Medicine to Study AI in Diagnostic Imaging

Fujifilm Corporation has entered into a joint research agreement with Indiana University School of Medicine to develop the application of artificial intelligence (AI) in medical imaging diagnostic support systems. More...
12 Sep 2018
Image: The Virtual Brain Segmenter could increase the efficiency of brain scan analysis (Photo courtesy of Dominique Duncan).

VR Tool Increases Efficiency of Brain Scan Analysis

Researchers at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of University of Southern California have designed a virtual reality (VR) tool for correcting errors in brain scan data. The tool named Virtual Brain Segmenter (VBS) transforms a tedious step in the scientific process into an immersive experience and significantly increases the efficiency of brain scan analysis. More...
06 Sep 2018
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MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.
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