Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Duke researchers use AI chatbots to bring maternal, mental health tools to Kenya

Two Duke research teams are taking advantage of the sudden rise of AI in healthcare by using chatbots to provide information about maternal health and mental health tools to women in Kenya.

FDA approves AI solution for enhancing medical images

Subtle Medical, a Menlo Park, California-based medical device startup, has received FDA clearance for its SubtlePET solution, which uses artificial intelligence (AI) to enhance medical images.

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Facial gestures, AI moves motorized wheelchair

Moving a motorized wheelchair typically involves operating a joystick or using sensors. That may soon change after Hoobox Robotics, a Brazil-based technology company, teamed up with Intel to create software that uses AI to help the disabled drive motorized wheelchairs with facial expressions, according to a report by USA Today.

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New AI technology uses machine learning to clean up distorted, damaged images

DeepRay, a new solution from Cambridge Consultants, uses artificial intelligence (AI) to improve distorted or damaged images. The company has said this technology could provide significant value to healthcare providers by improving medical imaging data.

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New AI technology reconstructs damaged images, video in real-time

Global research and development firm Cambridge Consultants, in the U.K. has developed an artificial intelligence (AI) software able to reconstruct images in real-time that have been previously damaged or obscured, according to a Dec. 4 report by Venture Beat.

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JACR: AI, blockchain dominate future of medical imaging

A new analysis conducted by researchers at McKinsey & Company in New York, published Dec. 4 in the Journal of the American College of Radiology, identified artificial intelligence (AI) and blockchain as the focus for most global medical imaging startups, and potentially for the future of medical imaging.

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CNN model accurately measures cerebral aneurysms from MRA images

A deep learning-based approach accurately predicted aneurysm size from magnetic resonance angiography (MRA) images, reported the authors of a Dec. 3 study published in the Journal of Digital Imaging.

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FDA providing expedited review of new AI software for diagnosing CTEPH

New software that uses artificial intelligence (AI) to diagnose chronic thromboembolic pulmonary hypertension (CTEPH) will receive an expedited review from the FDA as part of the agency’s breakthrough devices program. The program, first established in 2017 as part of the 21st Century Cures Act, is designed to speed up the development of devices and ensure timely patient access.

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