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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2 AI-related lessons radiologists can take from self-driving cars

Artificial intelligence (AI) is poised to change transportation with self-driving vehicles, Kimberly Powell, with the Nvidia Corporation, and colleagues believe their work on the subject can also be applied to radiology.

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Curt Langlotz at SIIM 2018: AI's impact will be 'real and profound'

The Society for Imaging Informatics in Medicine’s 2018 annual meeting wrapped up with a keynote address from Curt Langlotz, MD, PhD, with Stanford University, on the rise of artificial intelligence (AI).

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Social media promotes use of teleradiology by Syrian physicians

Social media has helped connect teleradiologists from around the world with the few physicians and imaging providers practicing in war-torn Syria, according to a study published May 31 in the Journal of the American College of Radiology.

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What can self-driving vehicles teach us about radiology’s relationship with AI?

Radiology professionals working on artificial intelligence (AI) technologies can learn a lot from studying self-driving vehicles, according to a new commentary published in the Journal of the American College of Radiology.

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AI algorithm may detect pancreatic cancer as accurately as radiologists

A professor of radiology at Johns Hopkins Medicine in Baltimore and computer science students are developing a tumor-detecting AI algorithm that can be built into computed tomography (CT) scanner software to recognize and differentiate between a normal pancreas and one that's cancerous.

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TeraRecon Debuts Next Generation Northstar™ AI Explorer at SIIM18

TeraRecon today announced that its first-of-kind Northstar™ AI Explorer has reached a new milestone that allows physicians to interact with individual measurements, markings, and findings created by artificial intelligence (AI) image processing algorithms.

7 comments on AI's potential in diabetes management

Artificial intelligence (AI) in medical devices may lead to breakthroughs for self-management in patients with diabetes, according to a study published May 31 in the Journal of Medical Internet Research.

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2018 NSW Health, Australia’s largest public health system, has selected Sectra as preferred vendor for a large enterprise imaging IT solution

NSW Health in Australia has signed a Proof of Concept agreement with the international medical imaging IT and cybersecurity company Sectra, which has been selected as the preferred vendor for a large enterprise imaging IT solution in New South Wales following a competitive tender process.

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