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. 

Researchers have developed and validated a new artificial intelligence (AI) model capable of producing four-chamber cardiac MR (CMR) images in seconds, publishing their findings in European Radiology Experimental.

AI creates accurate 4D heart scans in seconds

New data out of England provides cardiologists and radiologists with another reminder of AI's potential to transform healthcare. 

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Female cardiologists much more likely to receive negative reviews

Researchers explored more than 100,000 online reviews, using AI to learn as much as possible about what drives patients to give their cardiologist a positive or negative rating.

ai artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

ai artificial intelligence in healthcare

6 ways to convert GenAI adoption into real business value

Using the technology and making it work for purpose are two different things. And the U.S. leads all countries in terms of full implementation, at 24% (vs. 19% for China).

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AI tool's supplemental MRI recs help detect 4 times more breast cancers than density measures

What’s more, many of the cancers detected were invasive or multifocal, making their detection more timely. 

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How does AI TI-RADS compare to other thyroid nodule risk stratification systems?

Experts are hopeful that the reporting and data system could simplify the risk stratification of thyroid nodules in the future. 

AI in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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3 aspects of cancer care ripe for AI augmentation

Oncologists using or considering AI tools tend to agree among themselves on three points of ethics—and to recognize the same number of ways AI could help advance the state of patient care.