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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Most radiologists using AI favor ‘home-grown’ algorithms over commercially available tools

The insight is part of the American College of Radiology Data Science Institute's first annual survey, shared in JACR.

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Mount Sinai to offer AI and emerging tech PhD program

In a sign that AI is becoming all the more critical to healthcare, the Icahn School of Medicine at Mount Sinai has a new PhD concentration in AI and emerging technology.

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AI tackles ‘very, very complex’ problem—triaging MRI abnormalities

The tool performed well on data from an outside healthcare organization, suggesting it may be generalizable to broader populations.

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Only 30% of radiologists currently using artificial intelligence as part of their practice

The finding is part of the the American College of Radiology’s Data Science Institute's inaugural annual survey, published in JACR

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Canon Medical grabs FDA clearance for deep learning aid to improve cardiac CT

With the recent greenlight, the Tustin, California, company can now offer its Deep Learning Spectral CT tool for cardiovascular applications. 

Omada Health launches internal tool and new platform capabilities

As part of the effort, the provider has created the first virtual cardiometabolic clinic to manage diabetes and hypertension.

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AccentCare turns to AI for readmissions help

Home healthcare provider AccentCare is leveraging AI to track social determinants of health and potentially lower readmissions.

AI spots budding conspiracy theories on social media, helping public health officials intervene

By learning how such theories develop online, health advocates can create factual information campaigns to stop falsehoods from spreading.