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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Radiology artificial intelligence ROI calculator demonstrates ‘substantial’ benefits at 5-year mark

Researchers built the tool to help imaging leaders quantify comparative costs, estimated revenues and the value of using an AI platform at a U.S. hospital. 

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Key factors help AI predict whether patients will follow up for incidental lung nodules

A new JACR study examines 13 potential predictors and their influence on patients' actions after their CT scan unearthed unexpected findings. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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3 ‘illusions,’ 3 ‘visions’ that AI-using researchers need to know to avoid

Scientists are people too. As such, when engaged in research projects using AI, they must resist the very human impulse to over-delegate tasks to algorithms.

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Philips moves digital pathology to the cloud with AWS

The partnership aims to move labs to digital workflows to streamline diagnostics.

HeartFlow FFR-CT is a non-invasive imaging method to determine the fractional flow reserve for the entire coronary tree.

AI-based CAD assessments as accurate as FFR, new 10-year study confirms

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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When big returns on AI investment arrive in healthcare, providers will lag behind suppliers in marking the moment: Moody’s

Years will pass before the global economy’s healthcare sector sufficiently leverages AI to build major financial muscle off of it. And even then, industry players are likely to see gains well ahead of hospitals and health systems.