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. 

AI spots missed findings on chest X-rays, aiding nonradiologists in emergency setting

Emergency units often lack 24/7 coverage by radiologists, presenting an opportunity for AI to aid in diagnostics.

February 1, 2024
Hip strain injury fracture broken hip

AI model predicts hip fractures in a short-term timeframe

Current risk assessments are unable to calculate the likelihood of a near-future fracture after a patient breaks their hip.

January 31, 2024
Jeremy Slivnick, MD, presents at the American Society of Echocardiography (ASE) 2023 meeting on how artificial intelligence (AI) can help make echocardiography better able to detect subtle signs of early cardiac amyloid disease when it is easier to treat with better outcomes. ssistant professor of medicine and an advanced cardiac imager at the University of Chicago.

AI models for cardiac amyloidosis could make a world of difference

Jeremy Slivnick, MD, spoke with Cardiovascular Business about AI's potential to transform how cardiac amyloidosis is diagnosed and treated. 

January 30, 2024
Lunit AI chest X-rays

Collaboration brings triage AI to chest X-rays for prompt emergency care

The three year collaboration implements Lunit AI into Samsung X-ray devices.

January 29, 2024

AI-enhanced music used to ease anxiety during an MRI

HealthTunes is a nonprofit that produces artificial intelligence-powered music to create a soothing effect.

January 26, 2024
Amy Thompson, Signify Research, explains key observations in the teleradiology market at RSNA 2023, including the in creasing use of cloud and AI.

Cloud and AI are key to teleradiology success in post-COVID resurgence, expert says

Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.

January 24, 2024

FDA clears AI for breaking down lung CT images into subsegments

LungQ guides pulmonologists as they work to access peripheral locations within the lungs.

January 22, 2024
Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

January 19, 2024

Around the web

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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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