J.H.F. (Jacobien) Oosterhoff
J.H.F. (Jacobien) Oosterhoff
Profiel
Expertise
Biografie
Onderzoeksinteresses
Jacobien focuses on AI in Healthcare Systems, aiming to answer the following question: 'Why do so many promising applications have yet to be adopted in patients' clinical care or doctors' workflow?'
Many promising data-driven and algorithmic applications are being developed in healthcare systems, but unlocking the power of these clinical algorithms and their usefulness requires an interdisciplinary approach that goes beyond the walls of a hospital building.
Academische achtergrond
Jacobien Oosterhoff is an Assistant Professor in Artificial Intelligence for Healthcare Systems, in the Faculty Technology Policy and Management (ESS-ICT). She completed her medical school (MD) at the University of Amsterdam, and subsequently conducted PhD research in the Dept. of Orthopaedic Surgery from the Amsterdam University Medical Center - Location AMC. Jacobien has gained extensive research experience from working as a research fellow at Flinders University (Adelaide, Australia) and at Harvard Medical School (Boston, MA USA). Her PhD is titled: 'Artificial Intelligence in Orthopaedic Trauma Surgery: the Hype and the Hips' which she conducted at the Faculty of Medicine at the University of Amsterdam.
Expertise
Publicaties
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2024-1
Systematic review of machine-learning models in orthopaedic trauma an overview and quality assessment of 45 studies
/ H. Dijkstra / A. van de Kuit / T. de Groot / O. Canta / O. Q. Groot / J. H.F. Oosterhoff / J. N. Doornberg
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2024
To warrant clinical adoption AI models require a multi-faceted implementation evaluation
Davy van de Sande / Eline Fung Fen Chung / Jacobien Oosterhoff / Jasper van Bommel / Diederik Gommers / Michel E. van Genderen
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2023
Clockwise torque results in higher reoperation rates in left-sided femur fractures
Jacobien H.F. Oosterhoff / Hidde Dijkstra / Aditya V. Karhade / Rudolf W. Poolman / Inger B. Schipper / Rob G.H.H. Nelissen / Daphne van Embden / Ruurd L. Jaarsma / Joseph H. Schwab / More Authors
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2023
Developing a machine learning algorithm to predict the probability of aseptic loosening of the glenoid component after anatomical total shoulder arthroplasty
protocol for a retrospective, multicentre study
Arno Alexander Macken / Loïc C. Macken / Jacobien H.F. Oosterhoff / Pascal Boileau / George S. Athwal / Job N. Doornberg / Laurent Lafosse / Thibault Lafosse / Michel P.J. van den Bekerom / Geert Alexander Buijze -
2023
Implications of resampling data to address the class imbalance problem (IRCIP)
an evaluation of impact on performance between classification algorithms in medical data
Koen Welvaars / Jacobien H.F. Oosterhoff / Michel P.J. van den Bekerom / More Authors -
Onderwijs 2023
Media
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2021-12-31
Met machine learning op weg naar gepersonaliseerde geneeskunde bij de oudere kwetsbare patiënt met een gebroken heup?
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2021-11-03
AI-voorspellingsmodel voor gepersonaliseerde ouderenzorg