Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study

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Publication Details

Journal
EClinicalMedicine
Published
2025-04-01
DOI
https://doi.org/10.1016/j.eclinm.2025.103181
Citations
3
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
7.44

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article

Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study

Christina Pamporaki, Hanna Remde, Felix Beuschlein, Martin Faßnacht et al.
3 citations
EClinicalMedicine
Explainable Artificial Intelligence (XAI)
7.44
article

Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study

Christina Pamporaki, Hanna Remde, Felix Beuschlein, Martin Faßnacht, Angelos Filippatos, Mirko Peitzsch, Annika M.A. Berends, Graeme Eisenhofer, Georg Pommer, Aleksander Prejbisz, Karel Pacák, Georgiana Constantinescu, Ioannis D. Apostolopoulos, Matthew A. Nazari
article en
3 citations

Abstract

No abstract available for this paper.
EClinicalMedicineVol. 82
National Institutes of Health (US), University Medical Center Groningen (NL), University of Thessaly (GR), University of Patras (GR), University of Zurich (CH), University of Würzburg (DE), Universitätsklinikum Würzburg (DE), Institute of Cardiology (PL), Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), University Hospital Carl Gustav Carus (DE), Technische Universität Dresden (DE), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Explainable Artificial Intelligence (XAI)
7.44
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Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study — Christina Pamporaki, Hanna Remde, et al. · EClinicalMedicine (2025) | TGRS Research Map | TGRS