Dr. Sven Piepenburg

Clinical News
Personal experiences in MRI: A cardiologist's perspective
Dr. Sven Piepenburg is training to become a cardiologist at Würzburg University Hospital in Germany. He conducts about 800 MRI examinations on a 3-tesla scanner, mostly on patients with suspected myocardial infarction or inflammation. In this column, he writes about his experiences.
January 15, 2017
2017 01 13 12 32 07 113 2016 01 16 Sven P Thumb
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Hospitals across Europe, here in Katowice, Poland, are deploying AI tools in clinical workflows, but the regulatory infrastructure to oversee them is still catching up.
AI
One tool, many rulebooks: How the world is and isn't regulating medical AI
AI is reshaping radiology faster than regulators can keep up. From Brussels to Dubai to Seoul, most are still writing their own rules.
PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).
Molecular Imaging
Early FAPI-PET scans match 60-minute scans for lung cancer staging
Think more deeply about the structural, procedural, or operational bottlenecks stacking on top of one another, Dr. Rizwan Malik told UKIO delegates.
AI
The great AI debate: Expensive failure or vital prerequisite?
C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
MRI
AI gives a boost to cardiac MRI risk prediction
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One tool, many rulebooks: How the world is and isn't regulating medical AI
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PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).
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The spotlight fell brightly on AI at Tuesday's plenary session at the U.K. Imaging and Oncology Congress. The global expert panel scrutinized the current status of AI and the challenges ahead.
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Think more deeply about the structural, procedural, or operational bottlenecks stacking on top of one another, Dr. Rizwan Malik told UKIO delegates.
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Accurate risk prediction for coronary heart disease helps clinicians guide patient therapy and follow-up.
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C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.
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Flat-detector CT showing catheter position following contralateral middle meningeal artery embolization in a case where ipsilateral access was not possible.
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Experts gathered at the European Conference on Interventional Oncology ECIO 2026 in Basel to discuss the latest advances in minimally invasive cancer care.
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Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).
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Am 2020 06 26 16 29 2945 Cancer Lung 400
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