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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Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say

"Using a similar approach of front-loaded, declining incentives, an AI-focused program could help accelerate adoption and implementation," write Richard Heller and Nina Kottler. 

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Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns

However, it’s still uncertain whether the Trump administration will follow through with the new HHS policy update. 

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Only 4% of women comfortable with AI serving as sole reader of mammograms

“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care," one expert contends. 

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ChatGPT effective at simplifying breast imaging recall letters

Emory University radiologists recently sought to improve the readability of their recall messages, asking the large language model for help. 

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RadNet leaders discuss rationale behind blockbuster $103M iCAD AI acquisition

RadNet provides 1.9M mammograms per year in the U.S., and adding iCAD’s installed customer base would boost the number of impacted exams to 10M. 

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Diagnoses of this key clinical concern leapt 480% in 5 years, with CT a likely factor

The condition in question is sarcopenia, characterized by the progressive loss of muscle mass and strength typically seen in older adults. 

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RadNet to acquire breast imaging AI vendor iCAD for $103M

The acquisition will give Los Angeles-based RadNet an installed base of more than 1,500 healthcare provider locations, facilitating 8 million mammograms across 50 countries. 

AI bests radiologists at computed tomography angiography reads

CTA offers enhanced visualization for radiologists to assess patients’ risk of CAD, but the manual quantification process can be time-consuming.

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Around the web

Health Imaging
MRI projectile incident likely to result in a 'seven-figure sum' repair bill for hospital

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging
AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.