Radiology AI News
AI in Mammography Boosts Radiologists’ Focus and Accuracy
AI assistance enhances radiologists' breast cancer detection performance and directs attention to critical regions in mammograms.
Eye-Tracking Study Shows AI Support Enhances Radiologist Detection in Mammography
Radiologists using AI visual cues are more likely to identify breast cancers on mammograms, as revealed by eye-tracking analysis.
ChatGPT-Generated Questions Match Quality of Radiologist-Written MCQs for Residents
A study found that ChatGPT can generate multiple-choice questions for radiology residents of comparable quality to those written by attending radiologists.
SimonMed Imaging Debuts Two AI Mammography Services With Self-Pay Pricing
SimonMed Imaging launches Mammogram+ and Mammogram+ Heart AI-enhanced mammography services with out-of-pocket fees.
Mayo Clinic AI Accurately Detects Infections in Postoperative Wound Photos
Mayo Clinic researchers created an AI model to analyze patient photos for surgical site infection detection with strong accuracy.
AI Tracks Coronary Calcium Growth on Lung Cancer CT Scans
AI may enable more accurate tracking of coronary artery calcium (CAC) growth using routine lung cancer screening CT scans.
AI Model Surpasses Humans in Predicting Sudden Cardiac Death via Cardiac MRI
A new AI model more accurately predicts sudden cardiac death in hypertrophic cardiomyopathy patients by analyzing cardiac MRI scans for scar patterns.
Strong Leadership Essential for Sustainable Integration of Radiology AI
A new report underscores the essential role of strong leadership and governance in the successful integration of AI systems in radiology.
AI Outperforms Clinicians in Predicting Sudden Cardiac Death via MRI
A Johns Hopkins-led AI model outperforms current clinical guidelines in predicting risk of sudden cardiac death using cardiac MRI and patient records.
AI Using Cardiac MRI Accurately Predicts Sudden Cardiac Arrest Risk
A new AI algorithm leveraging cardiac MRI and health data significantly outperforms current clinical guidelines in predicting risk of sudden cardiac arrest in hypertrophic cardiomyopathy patients.
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