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Report offers road map for expanding AI’s role in medical imaging

BY Jeff Rowe | May 29, 2019

Despite numerous barriers, the use of AI in medical imaging holds a lot of promise, but industry stakeholders need to work together to ensure the technology is safe, effective, and efficient.

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Report charts way forward for AI in medical imaging

BY Jeff Rowe | April 18, 2019

AI is poised to make profound impact on radiologists’ efforts, assisting human experts with computer-powered algorithms to enhance interpretation and improve classification of medical imaging results.

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How AI is letting patients read their own X-rays

BY Jeff Rowe | April 03, 2019

Thanks to new open-source AI that runs inside a web browser, patients can begin to get do-it-yourself X-ray diagnoses.

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UK study shows AI can expedite critical X-ray analysis

BY Jeff Rowe | February 07, 2019

Unlike previous studies, which have investigated the potential of NLP and computer vision techniques in the classification of radiographs, researchers focused on prospects of using AI for real-time prioritization.

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AI in radiology is here to stay

BY Jeff Rowe | January 16, 2019

Use of artificial intelligence in radiology isn't a fleeting trend, say analysts, as it’s likely to be the norm within just a few years.

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Collaboration releases new tool for imaging alerts

According to stakeholders, future applications of deep learning can extend beyond imaging data to analyze EHRs, pathology and cellular microscopy data to help develop targeted drugs and achieve greater precision in treatments.

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Better images expected to lead AI outcomes for 2019

BY Jeff Rowe | December 31, 2018

According to one stakeholder, AI’s ability to process and interpret vast amounts of data will spread across healthcare as a major advantage in 2019 and beyond.

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Radiology conference highlights imaging progress

BY Jeff Rowe | December 05, 2018

To maximize availability and accessibility, the cloud is increasingly a major means for the deployment of AI applications.