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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Aidoc unveils first-of-its kind operating system for using AI across vendors, subspecialties

The new system currently includes FDA-cleared algorithms from five companies along with seven developed by Aidoc.

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RSNA announces winners of its brain tumor AI challenge

More than 2,700 participants were tasked with developing AI models capable of completing two different tasks.

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New AI software a low-cost, efficient option for coronary artery calcium scoring

The tool can be universally applied across multiple CT scanners and vendors, experts reported in the European Journal of Radiology.

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CT-based AI could be game changer for radiologists assessing invasive, noninvasive cancers

Specifically, the deep learning platform distinguished minimally invasive adenocarcinomas from more deadly varieties.

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Prostate cancer grading and quantification is significantly more accurate with AI-assisted platform

The tool may lead to substantial clinical management benefits for those with the disease, according to a new study in JAMA Network Open.

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‘Imaging at the speed of light’: New detector may enable cheaper, more accurate scans

The development involves ultrafast photon detectors and doesn't rely on conventional tomography, researchers reported recently in Nature Photonics.

Man vs. Machine artificial intelligence AI

AI developed during high-profile competition rivals radiologists’ lung cancer predictions

Diagnostic scores assigned to chest CT scans can be used as a sign that providers must carefully inspect images for abnormalities, researchers said in Radiology: Artificial Intelligence.

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Deep learning predicts metastasis probability in patients with non-small cell lung cancer

The AI approach may prove more effective than PET/CT, which can only diagnose N2 disease with 70-85% sensitivity, researchers reported Tuesday in Radiology.

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Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

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‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.