Florence Doo, MD, discusses how AI is affecting radiology and how best to put it to use in patient care.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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If AI finds an abnormality that a radiologist misses, who's at fault?
Radiologists who miss an abnormality on an image are more likely to be seen as legally culpable if AI detects the abnormality.
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AI-directed breast MRI scanning may lead to shorter scan times
AI-directed stratified breast scanning could help decrease scan times in breast imaging by triaging women to abbreviated MRI protocols…
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The PACSman Pontificates: Should AI be free?
In a new column, consultant Michael J. Cannavo, aka the PACSman, shares his take on whether radiology AI should be free.
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MRI radiomics helps predict liver cancer treatment response
A study presented at ASCO 2025 highlighted the benefits of MRI radiomics analysis in predicting treatment response in patients…
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Explainable DL MRI model shows promise diagnosing liver cancer
An AI model not only classifies liver lesions but also provides visual explanations for its decisions.
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The PACSMan’s SIIM 2025 recap: A long way from home
The PACSMan, aka consultant Michael J. Cannavo, shares his takeaway points after remotely attending SIIM 2025.
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German researchers tout U-Net for pixel-level lung thickness maps
The deep-learning model may be helpful for diagnosing and preventing the progression of pulmonary diseases during routine chest…
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Video from SIIM: Nabile Safdar on integrating AI into radiology training
We caught up with Nabile Safdar, MD, to discuss best practices for the integration of AI into radiology training.
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SIIM: AI creates well-received radiology reports for patients
A study presented at SIIM 2025 highlighted the potential of AI-created video radiology reports for improving patient engagement…