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Emphasizing AI Plaque Quantification on CCTA
0:34
Emphasizing AI Plaque Quantification on CCTA
a year ago
by
Fatima Rodriguez, MD
A Closer Look at the AI-Powered Lung Nodule Malignancy Score Software for CXR
0:59
A Closer Look at the AI-Powered Lung Nodule Malignancy Score Software for CXR
a year ago
by
Hari Kishan Gonuguntla, MD
Assessing the Potential Impact of Certainty in AI Mammography Models
0:44
Assessing the Potential Impact of Certainty in AI Mammography Models
a year ago
by
Ioannis Sechopoulos, PhD

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What’s Coming Down the Pike in Radiology in 2026?

In recent interviews, Rajesh Bhayana, M.D., Manisha Bahl, M.D., and Jeremie Calais, M.D., Ph.D., shared their thoughts on agentic AI, key directions in breast imaging research and emerging trends with prostate cancer theranostics in 2026.

Computed Tomography: 2025 Year in Review

From controversial research on radiation-induced long-term cancer risks with computed tomography (CT) scans and the emerging prognostic value of AI-enabled plaque quantification to the potential impact of deep learning and AI-enhanced radiomics in thoracic radiology, here is a look back at the most well-viewed CT content from 2025.