Nuffield Orthopaedic Centre
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Evangelia Christodoulou, Jie Ma, Gary S. Collins et al.
2019 · 1.818 Zit.
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.438 Zit.
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
Gary S. Collins, Paula Dhiman, Constanza L. Andaur Navarro et al.
2021 · 736 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 428 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 338 Zit.
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Constanza L. Andaur Navarro, Johanna AAG Damen, Toshihiko Takada et al.
2021 · 332 Zit.
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 298 Zit.
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
Viknesh Sounderajah, Hutan Ashrafian, Robert Golub et al.
2021 · 283 Zit.
Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis
Rachel Kuo, Conrad Harrison, Terry‐Ann Curran et al.
2022 · 271 Zit.
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2025 · 226 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 217 Zit.
Predictive analytics in health care: how can we know it works?
Ben Van Calster, Laure Wynants, D. Timmerman et al.
2019 · 209 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 179 Zit.
Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis
Conner Ganjavi, Michael Eppler, Asli Pekcan et al.
2024 · 171 Zit.
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro et al.
2022 · 124 Zit.