Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anouk, van de Kuit"'
Autor:
Hidde Dijkstra, Anouk van de Kuit, Tom de Groot, Olga Canta, Olivier Q. Groot, Jacobien H. Oosterhoff, Job N. Doornberg, On behalf of the Machine Learning Consortium
Publikováno v:
Bone & Joint Open, Vol 5, Iss 1, Pp 9-19 (2024)
Aims: Machine-learning (ML) prediction models in orthopaedic trauma hold great promise in assisting clinicians in various tasks, such as personalized risk stratification. However, an overview of current applications and critical appraisal to peer-rev
Externí odkaz:
https://doaj.org/article/da7b666159aa4867aae5bbb1120810ef
Autor:
Anouk van de Kuit, M.D., Lukas P.E. Verweij, M.D., Simone Priester-Vink, Ph.D., H.E.J. (Dirkjan) Veeger, Ph.D., Michel P.J. van den Bekerom, M.D., Ph.D.
Publikováno v:
Arthroscopy, Sports Medicine, and Rehabilitation, Vol 5, Iss 6, Pp 100804- (2023)
Purpose: To evaluate the current literature on the effects of anatomic changes caused by the Latarjet procedure and to identify areas for future research. Methods: English-language studies that addressed the consequences of anatomic alterations after
Externí odkaz:
https://doaj.org/article/7449be6044324f19b4b73955a666ed43
Autor:
Hidde Dijkstra, Jacobien H. F. Oosterhoff, Anouk van de Kuit, Frank F. A. IJpma, Joseph H. Schwab, Rudolf W. Poolman, Sheila Sprague, Sofia Bzovsky, Mohit Bhandari, Marc Swiontkowski, Emil H. Schemitsch, Job N. Doornberg, Laurent A. M. Hendrickx, On behalf of the Machine Learning Consortium, the HEALTH Investigators, and the FAITH Investigators
Publikováno v:
Bone & Joint Open, Vol 4, Iss 3, Pp 168-181 (2023)
Aims: To develop prediction models using machine-learning (ML) algorithms for 90-day and one-year mortality prediction in femoral neck fracture (FNF) patients aged 50 years or older based on the Hip fracture Evaluation with Alternatives of Total Hip
Externí odkaz:
https://doaj.org/article/d6d5e78388284b628c15157e950e9b16
Autor:
Niels T. Bloemendal, BSc, Richella Hertsig, BSc, Stan Benjamens, MD, PhD, Anouk van de Kuit, BSc, Tim Swaab, BSc, Derya Yakar, MD, PhD, Robert C. Minnee, MD, PhD, Ignace F.J. Tielliu, MD, PhD, Stephan J.L. Bakker, MD, PhD, Robert A. Pol, MD, PhD
Publikováno v:
Transplantation Direct, Vol 9, Iss 2, p e1435 (2023)
Background. Atherosclerosis of the aortoiliac vessels can adversely affect kidney perfusion after kidney transplantation. Atherosclerosis severity can be determined using the calcium score (CaScore). Potential problems with posttransplantation kidney
Externí odkaz:
https://doaj.org/article/2189d8bc5c364133a4dc30b597390eb5
Autor:
Anouk van de Kuit, BSc, Stan Benjamens, BSc, Camilo G. Sotomayor, MD, Elsaline Rijkse, MD, Stefan P. Berger, MD, PhD, Cyril Moers, MD, PhD, Stephan J.L. Bakker, MD, PhD, Robert C. Minnee, MD, PhD, Derya Yakar, MD, Robert A. Pol, MD, PhD
Publikováno v:
Transplantation Direct, Vol 6, Iss 8, p e581 (2020)
Background. Doppler ultrasound, including intrarenal resistance index (RI) measurement, is a widely used modality to assess kidney transplantation (KTx) vascularization. The aim of this study is to gain insight in the associations between early posto
Externí odkaz:
https://doaj.org/article/44fb00bfffe24a0db774d1c624fb5752
Autor:
Anouk, van de Kuit, Jacobien H F, Oosterhoff, Hidde, Dijkstra, Sheila, Sprague, Sofia, Bzovsky, Mohit, Bhandari, Marc, Swiontkowski, Emil H, Schemitsch, Frank F A, IJpma, Rudolf W, Poolman, Job N, Doornberg, Laurent A M, Hendrickx, Kyle, Jeray
Publikováno v:
Clinical Orthopaedics and Related Research, 480(12), 2350-2360. Springer New York
Clinical orthopaedics and related research, 480(12), 2350-2360. Springer New York
Clinical Orthopaedics and Related Research, 480(12), 2350-2360. LIPPINCOTT WILLIAMS & WILKINS
the Machine Learning Consortium and FAITH Investigators 2022, ' Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation : A Machine-learning Algorithm ', Clinical Orthopaedics and Related Research, vol. 480, no. 12, pp. 2350-2360 . https://doi.org/10.1097/CORR.0000000000002283
Clinical orthopaedics and related research, 480(12), 2350-2360. Springer New York
Clinical Orthopaedics and Related Research, 480(12), 2350-2360. LIPPINCOTT WILLIAMS & WILKINS
the Machine Learning Consortium and FAITH Investigators 2022, ' Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation : A Machine-learning Algorithm ', Clinical Orthopaedics and Related Research, vol. 480, no. 12, pp. 2350-2360 . https://doi.org/10.1097/CORR.0000000000002283
BACKGROUND: Femoral neck fractures are common and are frequently treated with internal fixation. A major disadvantage of internal fixation is the substantially high number of conversions to arthroplasty because of nonunion, malunion, avascular necros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3da894e457a6740bfbbc2719e0256ac6
https://research.vumc.nl/en/publications/1f8810a5-ff86-41ad-955e-1d05d6d72954
https://research.vumc.nl/en/publications/1f8810a5-ff86-41ad-955e-1d05d6d72954
Autor:
Stephan J. L. Bakker, Robert C. Minnee, Stefan P Berger, Robert A. Pol, Cyril Moers, Elsaline Rijkse, Stan Benjamens, Camilo G. Sotomayor, Anouk van de Kuit, Derya Yakar
Publikováno v:
Transplantation Direct
Transplantation Direct, 6(8). Wolters Kluwer Health
Transplantation direct, 6(8). LIPPINCOTT WILLIAMS & WILKINS
Transplantation Direct, Vol 6, Iss 8, p e581 (2020)
Transplantation Direct, 6(8). Wolters Kluwer Health
Transplantation direct, 6(8). LIPPINCOTT WILLIAMS & WILKINS
Transplantation Direct, Vol 6, Iss 8, p e581 (2020)
Background. Doppler ultrasound, including intrarenal resistance index (RI) measurement, is a widely used modality to assess kidney transplantation (KTx) vascularization. The aim of this study is to gain insight in the associations between early posto