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 decision support tool used in breast cancer screening

Commercially available AI reduces radiologists' workload by 34% in certain screening settings

It also increases cancer detection rates and reduces false positives, according to new work published in the journal Radiology. 

computer vision in radiology

The promise and potholes of computer vision as viewed from a radiological vantage point

Radiologists are known to miss comical oddities planted in medical images. In one study conducted in 2013, 83% of rads famously missed a man in a monkey suit waving hello from inside a lung scan.

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Nearly two-thirds of consumers surveyed say they’d trust a diagnosis from AI over a human doctor

“This result indicates a significant shift in public perception and trust toward technology,” according to new survey data from consumer research firm Innerbody. 

How will Medicare pay for imaging AI? Health policy experts offer 3 suggestions

“The existing fee-for-service payment system is not well suited for these services," researchers detailed Tuesday in JAMA Internal Medicine. 

artificial intelligence

GE HealthCare leads with 72 AI-enabled devices; Siemens, Canon, Philips, Aidoc also make top 5

The FDA most recently updated its tally of approved products on May 13 with a total of 882 devices and 191 added in the latest revision. 

artificial intelligence AI money brain dollar

Radiology AI vendor Lunit completes acquisition of rival Volpara for $193M

Based in Seoul, South Korea, Lunit called the acquisition a “significant milestone” in its “mission to conquer cancer" through artificial intelligence.

radiology trends x-ray imaging practice management

Top 10 trends to follow in diagnostic radiology

Consulting firm Vizient published its fifth annual imaging trends report, highlighting issues such as staffing, remote scanning, AI, sustainability and "systemness." 

'Too many cooks in the kitchen': How AI is both helpful and a hindrance to radiologists

Recent research suggests that, in many cases, radiologist performance only improves minimally with AI assistance.

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After reviewing years of data from its clinic, one institution discovered that issues with implant data integrity frequently put patients at risk. 

Prior to the final proposal’s release, the American College of Radiology reached out to CMS to offer its recommendations on payment rates for five out of the six the new codes.

“Before these CPT codes there was no real acknowledgment of the additional burden borne by the providers who accepted these patients."

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