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. 

Brain imaging artificial intelligence is a primary area of concentration for AI because oif the critical nature of fast detection and treatment for patients. This is an example of the AI applications displayed by third-party advanced visualization vendor TeraRecon at RSNA 2022.

What is the ROI on AI adoption in radiology?

Radiology makes up the vast majority of FDA-cleared AI algorithms, but with minimal or no reimbursement, hospital administrators may ask whether AI’s value justifies its expense.

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These health systems have the biggest digital health portfolios

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

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Cardiologists find AI to be more accurate than sonographers at interpreting echocardiograms

Overall, cardiologists made corrections to 16.8% of AI-generated assessments and 27.2% of sonographer assessments.

pulmonary embolism on CT pulmonary angiography

AI work list prioritization tool significantly decreases PE turnaround times

The FDA-approved tool works by reprioritizing CTPA exams to the top of a radiologist’s work list when the scan is positive for PE.

ChatGPT chatbot

Liver specialists among first to be ably aided by ChatGPT

ChatGPT isn’t capable of unilaterally guiding care for patients with cirrhosis or the liver cancer it tends to spawn, hepatocellular carcinoma (HCC). However, the large-language AI tool can competently assist clinicians.  

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Too much too soon? Elon Musk, other tech leaders pause AI development to review ethics

Healthcare is one of the biggest areas of opportunity for AI, with more than 500 health AI algorithms cleared by the FDA over the last several years.

Point of Care Ultrasound POCUS Lungs

Specialized lung AI tool cleared for U.S. sales

A popular marketer of handheld ultrasound devices has won FDA approval for an AI-enabled B-line quantification tool for use with patients suspected of having compromised lung function.

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FDA clears prostate AI for second indication

Radiology AI vendor Bot Image may market its prostate software not only for diagnosing cancer when suspected but also for performing prostate screenings.

Around the web

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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