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Researcher
Ben Van Calster
- Disciplines:Laboratory medicine, Palliative care and end-of-life care, Regenerative medicine, Other basic sciences, Other health sciences, Nursing, Other paramedical sciences, Other translational sciences, Other medical and health sciences
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → 31 Mar 2013 - Woman and Child (Division)
Member
From1 Apr 2013 → Today - Social and Cultural Psychology (Research group)
Member
From23 Mar 2001 → 30 Jun 2003
Projects
1 - 10 of 18
- BIOC study: Discriminating Borderline from stage I Invasive Ovarian Cancer: a multicenter prospective diagnostic biomarker studyFrom1 Sep 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- BIOC study: Discriminating Borderline from stage I Invasive Ovarian Cancer: a game changer for patientsFrom1 Sep 2024 → TodayFunding: Foundations, funds and other with scientific goal
- Safely ruling out ACS in patients with chest pain presenting to ambulatory careFrom19 May 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- The ADNEX risk model for ovarian cancer diagnosis: improving performance across different hospitals and examinersFrom22 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- The ADNEX risk model for ovarian cancer diagnosis: improving performance across different hospitals and examinersFrom1 Jan 2022 → TodayFunding: FWO research project (including WEAVE projects)
- DYNAMIC RISK PREDICTION TO REDUCE CENTRAL LINE-ASSOCIATED BLOODSTREAM INFECTIONS USING ELECTRONIC HEALTH RECORDSFrom1 Apr 2021 → 1 Apr 2025Funding: Own budget, for example: patrimony, inscription fees, gifts
- DYNAMIC RISK PREDICTION OF BLOODSTREAM INFECTIONS USING ELECTRONIC HEALTH RECORD (EHR) DATAFrom16 Feb 2021 → 1 Apr 2025Funding: Own budget, for example: patrimony, inscription fees, gifts
- Augmenting Clinical Decision-Making with Machine LearningFrom30 Oct 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Dynamic risk prediction to reduce central line-associated bloodstream infectionsFrom1 Oct 2020 → 30 Sep 2024Funding: BOF - projects
- Personalized diagnostics for endometrial cancer to optimize local decision-making and patient triage.From1 Oct 2018 → 30 Sep 2021Funding: FWO fellowships
Publications
1 - 10 of 308
- External validation of ultrasound-based models for differentiating between benign and malignant adnexal masses: a nationwide prospective multicenter study (IOTA phase 6).(2025)Published in: AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGYISSN: 0002-9378Issue: 6Volume: 233Pages: 629.e1 - 629.e13
- Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors(2025)Published in: iScienceISSN: 2589-0042Issue: 11Volume: 28
- Added value of cell-free DNA over clinical and ultrasound information for diagnosing ovarian cancer(2025)Published in: ULTRASOUND IN OBSTETRICS & GYNECOLOGYISSN: 0960-7692Issue: 4Volume: 66Pages: 518 - 526
- Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studies(2025)Published in: Bmj OpenISSN: 2044-6055Issue: 10Volume: 15
- Burnout, wellbeing and defensive medical practice in obstetricians and gynecologists in the UK before and after the COVID pandemic: A repeated cross-sectional survey study(2025)Published in: Acta Obstetricia et Gynecologica ScandinavicaISSN: 0001-6349Issue: 9Volume: 104Pages: 1683 - 1693
- Virtual reality simulation in reducing discomfort and pain during intrauterine device insertion: a randomized controlled trial.(2025)Published in: ContraceptionISSN: 0010-7824Volume: 148Pages: 110939
- A comparison of modeling approaches for static and dynamic prediction of central line-associated bloodstream infections using electronic health records (part 2): random forest models(2025)Published in: Diagn Progn ResISSN: 2397-7523Issue: 1Volume: 9
- A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression models(2025)Published in: Diagn Progn ResISSN: 2397-7523Issue: 1Volume: 9
- TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation(2025)Published in: Ewha Medical JournalISSN: 2234-3180Issue: 3Volume: 48
- Importance of sample size on the quality and utility of AI-based prediction models for healthcare(2025)Published in: The Lancet. Digital HealthISSN: 2589-7500Issue: 6Volume: 7
Patents
1 - 1 of 1
Linked dataset
1 - 5 of 5
- IOTA phase 5 (interim analyses 2): Examination of short and long term outcomes of conservative management of benign-looking adnexal masses and the pre-operative characteristics of ovarian tumours
- IOTA phase 2: temporal and external validation of ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models
- IOTA Phase 1b: validation of models to distinguish between a benign and malignant adnexal tumor before surgery
- IOTA Phase 1: development of models to distinguish between a benign and malignant adnexal tumor before surgery
- TransIOTA: Identification of new potential biomarkers for the diagnosis of ovarian cancer