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Author

Lisa Koopmans

2 papers indexed here

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Review Open access Jul 2026

Uncertainty quantification for artificial intelligence in medical imaging: what every radiologist needs to know.

Although UQ has the potential to improve the safety and interpretability of AI-assisted screening, challenges remain, including calibration, threshold selection, computational cost, and the need for prospective clinical validation.

Fernando Vega Lara, Lisa Koopmans, Christian Roest et al. · 1 citation
Review Open access Aug 2026

Autonomous AI in prostate cancer: the road ahead towards clinical implementation.

The findings highlight the need for evidence from large, multicenter, prospective trials and evaluation frameworks that reflect the consequences of clinical decision-making, as well as further exploration of safeguards to monitor and address mismatches between training data and incoming scans during deployment.

Lisa Koopmans, Fernando Vega Lara, Christian Roest et al. · 0 citations

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