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. 

artificial intelligence code face

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

March 20, 2024
artificial intelligence gold rush

Healthcare AI: Welcome to our generation’s ‘great Gold Rush’

It’s more critical for U.S. healthcare to get medical AI right than to get it adopted far, wide and ASAP.

March 20, 2024
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Most women view mammography AI positively but still want human readers involved

Researchers sent the questionnaire to over 84,000 individuals imaged through BreastScreen Norway, sharing their findings in the European Journal of Radiology

March 18, 2024
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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. 

March 18, 2024
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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. 

March 15, 2024
google deepmind environmental AI

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

March 14, 2024
artificial intelligence in scientific research

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.

March 14, 2024
Cloud data storage is enabling new efficiencies in healthcare and radiology.

Philips moves digital pathology to the cloud with AWS

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

March 13, 2024