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. 

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.

April 7, 2023
An example of the FFR-CT technology from Heartflow. The vendor's AI can take a patient's cardiac CT scan and non-invasively assess FFR hemodynamic flow for all the coronary arteries to determine if blockages are significant enough to require revascularization. Photo by Dave Fornell

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.

April 7, 2023
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.

April 6, 2023
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.

April 5, 2023
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.

April 4, 2023
scan of prostate

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.

March 31, 2023
Microsoft Johns Hopkins AI partnership

7 lessons learned during joint big business/healthcare AI projects

Big Tech players have been investing in partnerships with large healthcare providers on AI endeavors for several years now. According to both sides in one such collaboration, the resulting synergy offers “immense potential” to improve patient access, care and outcomes.

March 31, 2023
An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

Artificial intelligence shows promise in mitigating radiologist bias

AI clinical decision support was particularly popular among younger radiologists, experts wrote in Scientific Reports

March 29, 2023

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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