Radiology AI News

Heartflow Files for $100M IPO Following Strong CT AI Adoption

Heartflow, a cardiac CT AI vendor, files for a $100 million IPO after notable adoption and revenue growth.

CoSyn Boosts Open-Source AI's Medical and Scientific Image Understanding

The CoSyn tool leverages synthetic data to help open-source AI models excel at understanding complex, text-rich images such as medical diagrams.

AI Model Accurately Detects Dementia Types from Real-World Brain Images

Researchers developed an AI model that accurately distinguishes between multiple dementia types using extensive, heterogeneous brain imaging data.

AI Model Predicts Coronary Calcium Scores Using Chest X-rays

A deep-learning model predicts coronary artery calcium (CAC) scores from chest x-rays, improving risk assessment for coronary artery disease.

AI Model Quantifies Plaque Volume Differences in Chest Pain Patients via CCTA

An AI model using CCTA distinguishes noncalcified plaque volumes in chest pain patients compared to asymptomatic patients.

Heartflow AI Software Shows Major Impact on Cardiac Care Decisions

Heartflow's AI Plaque Analysis software leads to significant improvements in cholesterol management and cardiac risk reduction in coronary artery disease patients.

AI Algorithm Cuts Radiation 99% for 3D Reconstructions from X-Rays

A new AI algorithm can reconstruct 3D images from only 2-4 X-rays, reducing radiation exposure by up to 99%.

AI Tool CoRaX Integrates Eye Gaze and Reports to Reduce Chest X-Ray Errors

Researchers introduce CoRaX, an AI system that uses eye gaze and radiology report data to address perceptual errors in chest x-ray readings.

Medicare Proposes $1,000 Payment for Coronary CT AI Plaque Analysis

Medicare's 2026 Physician Fee Schedule proposes a $1,000 payment and new CPT code for AI-based coronary plaque analysis software.

Survey Finds Patients Distrust Physicians Who Use AI, Despite Growing Adoption in Radiology

A new survey reveals patients see doctors who use AI as less competent, despite rapid AI adoption in radiology.
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