John Radcliffe Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 737 Zit.
Health information technology and digital innovation for national learning health and care systems
Aziz Sheikh, Michael Anderson, Sarah Albala et al.
2021 · 349 Zit.
Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis
Rachel Kuo, Conrad Harrison, Terry‐Ann Curran et al.
2022 · 272 Zit.
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology
Lior Drukker, J. Alison Noble, Aris T. Papageorghiou
2020 · 210 Zit.
A systematic review and economic evaluation of epoetin alfa, epoetin beta and darbepoetin alfa in anaemia associated with cancer, especially that attributable to cancer treatment
Jayne S. Wilson, Guiqing Yao, James Raftery et al.
2007 · 173 Zit.
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
Jenny Yang, Andrew A. S. Soltan, David A. Clifton
2022 · 142 Zit.
An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.
2023 · 124 Zit.
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.
2023 · 100 Zit.
Methodology over metrics: current scientific standards are a disservice to patients and society
Ben Van Calster, Laure Wynants, Richard D Riley et al.
2021 · 100 Zit.
Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method
Omer F. Ahmad, Yuichi Mori, Masashi Misawa et al.
2020 · 67 Zit.
Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
Rachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
2023 · 51 Zit.
Accuracy of Information given by ChatGPT for Patients with Inflammatory Bowel Disease in Relation to ECCO Guidelines
Martina Sciberras, Yvette Farrugia, Hannah Gordon et al.
2024 · 38 Zit.
Artificial intelligence in cardiovascular imaging—principles, expectations, and limitations
Charalambos Antoniades, Evangelos K. Oikonomou
2021 · 36 Zit.
Machine learning in transfusion medicine: A scoping review
Suzanne Maynard, Joseph Farrington, Samah Alimam et al.
2023 · 33 Zit.
AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians’ and midwives’ perspectives on integrating AI-driven CTG into clinical decision making
Rachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
2024 · 33 Zit.