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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As the pregnancy advances, the embryo is easier to see, and accurate measurements can be obtained with transabdominal ultrasound. A crown-rump length (CRL) measurement. This ultrasound scan shows the CRL, which is the average of discrete fetal measurements from the tip of the head end to the tip of the rump end in the midsagittal plane of the embryo. This is highly accurate for pregnancy dating. Images courtesy of RSNA

1 day of training with AI makes novice sonographers as accurate as experts in gestational measurements

This sort of tool could be a game changer for prenatal care in low resource settings, authors of a new paper published in JAMA suggest. 

artificial intelligence ai in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days. 1. The Federal Trade Commission isn’t messing around.

artificial intelligence in healthcare

10 aspects of healthcare AI to which attention must be paid

Patient safety should be the No. 1 consideration for healthcare organizations working, planning or hoping to adopt AI. Then again, nine other concerns are similarly crucial to the success of the industry-wide endeavor.

AI tool detects PE missed by rads

Commercially available AI tool detects 76% of PE that rads initially missed on CT

Improving the detection of pulmonary embolism has been a popular target among multiple AI vendors.

Dana H. Smetherman, MD, MPH, MBA, FACR, the new CEO of the American College of Radiology (ACR), explains some of the hot button issues in radiology and advocacy efforts led by the ACR.

New ACR CEO outlines key concerns for radiology

Dana Smetherman, MD, MBA, explains some of the hot button issues in imaging and key advocacy efforts being undertaken by the college. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days: HHS has begun doing healthcare AI differently

healthcare artificial intelligence AI

How to adopt healthcare AI in 3 overlapping yet distinct phases

Here’s a factoid you may not have seen coming. By 2030, the six countries of the Gulf Cooperation Council annually purchase more than $23 billion worth of products and services related to generative AI.

Artificial intelligence significantly reduces lumbar spine MRI interpretation times

Assessing lumbar spinal stenosis can be a “repetitive and time-consuming activity,” experts detailed in the European Journal of Radiology. 

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