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. 

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.

artificial intelligence in healthcare oncology cancer care

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. 

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence AI in healthcare

Elusive quadruple aim revisited for the generative AI era

Is U.S. healthcare capable of achieving its own quadruple aim? Or is that ideal destined to remain a perpetual pursuit, always chased but never really caught?

Thomas Maddox, MD, explains some of the new, innovative technologies people should watch for in cardiology. He said some of these may define how cardiologist practice medicine in the next couple years.

Remote monitoring, AI to play key roles in the future of cardiology

Serious changes could be coming to a cardiology practice near you.