Ben Van Calster

Research interests

Publications

• PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

  BMJ · 2025 · https://doi.org/10.1136/bmj-2024-082505

• Evaluation of clinical prediction models (part 1): from development to external validation

  BMJ · 2024 · https://doi.org/10.1136/bmj-2023-074819

• TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

  BMJ · 2024 · https://doi.org/10.1136/bmj-2023-078378

• Understanding metric-related pitfalls in image analysis validation

  Nature Methods · 2024 · https://doi.org/10.1038/s41592-023-02150-0

• Metrics reloaded: recommendations for image analysis validation

  Nature Methods · 2024 · https://doi.org/10.1038/s41592-023-02151-z

• The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression

  Journal of the American Medical Informatics Association · 2022 · https://doi.org/10.1093/jamia/ocac093

• Interpreting area under the receiver operating characteristic curve

  The Lancet Digital Health · 2022 · https://doi.org/10.1016/s2589-7500(22)00188-1

• Randomized Trial of Fetal Surgery for Severe Left Diaphragmatic Hernia

  New England Journal of Medicine · 2021 · https://doi.org/10.1056/nejmoa2027030

• Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

  BMJ Open · 2021 · https://doi.org/10.1136/bmjopen-2020-048008

• Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

  Journal of Clinical Epidemiology · 2020 · https://doi.org/10.1016/j.jclinepi.2020.03.005

• Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

  BMJ · 2020 · https://doi.org/10.1136/bmj.m1328

• A simple, step-by-step guide to interpreting decision curve analysis

  Diagnostic and Prognostic Research · 2019 · 10.1186/s41512-019-0064-7

• Calibration: the Achilles heel of predictive analytics

  BMC Medicine · 2019 · https://doi.org/10.1186/s12916-019-1466-7

• A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

  Journal of Clinical Epidemiology · 2019 · https://doi.org/10.1016/j.jclinepi.2019.02.004

• Oncological management and obstetric and neonatal outcomes for women diagnosed with cancer during pregnancy: a 20-year international cohort study of 1170 patients

  The Lancet Oncology · 2018 · https://doi.org/10.1016/s1470-2045(18)30059-7

• Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators

  European Urology · 2018 · https://doi.org/10.1016/j.eururo.2018.08.038

• Justify your alpha

  Nature Human Behaviour · 2018 · https://doi.org/10.1038/s41562-018-0311-x

• Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group

  American Journal of Obstetrics and Gynecology · 2016 · https://doi.org/10.1016/j.ajog.2016.01.007

• Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests

  BMJ · 2016 · 10.1136/bmj.i6

• A calibration hierarchy for risk models was defined: from utopia to empirical data

  Journal of Clinical Epidemiology · 2016 · https://doi.org/10.1016/j.jclinepi.2015.12.005

• Calibration of Risk Prediction Models

  Medical Decision Making · 2014 · https://doi.org/10.1177/0272989x14547233

• Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

  BMJ · 2014 · https://doi.org/10.1136/bmj.g5920

• Prognosis of Women With Primary Breast Cancer Diagnosed During Pregnancy: Results From an International Collaborative Study

  Journal of Clinical Oncology · 2013 · https://doi.org/10.1200/jco.2012.45.6335

• Pregnancy of unknown location: a consensus statement of nomenclature, definitions, and outcome

  Fertility and Sterility · 2010 · https://doi.org/10.1016/j.fertnstert.2010.09.006

• Simple ultrasound‐based rules for the diagnosis of ovarian cancer

  Ultrasound in Obstetrics and Gynecology · 2008 · https://doi.org/10.1002/uog.5365

• Antenatal Maternal Anxiety is Related to HPA-Axis Dysregulation and Self-Reported Depressive Symptoms in Adolescence: A Prospective Study on the Fetal Origins of Depressed Mood

  Neuropsychopharmacology · 2007 · https://doi.org/10.1038/sj.npp.1301450

• Logistic Regression Model to Distinguish Between the Benign and Malignant Adnexal Mass Before Surgery: A Multicenter Study by the International Ovarian Tumor Analysis Group

  Journal of Clinical Oncology · 2005 · https://doi.org/10.1200/jco.2005.01.7632

Current projects

No projects listed.