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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The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

HeartFlow raises $215M to keep up with growing demand

The company is still riding the momentum of its technology being included in the 2021 American College of Cardiology/American Heart Association chest pain guidelines.

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.

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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.

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