National Institute for Health and Care Excellence
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 1.422 Zit.
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.
2020 · 882 Zit.
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.
2020 · 534 Zit.
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner et al.
2020 · 460 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.
Validation framework for the use of AI in healthcare: overview of the new British standard BS30440
Mark Sujan, Cassius Smith-Frazer, Christina Malamateniou et al.
2023 · 54 Zit.
A distributed approach to the regulation of clinical AI
Trishan Panch, Erin Duralde, Heather Mattie et al.
2022 · 35 Zit.
Current state and prospects of artificial intelligence in allergy
Merlijn van Breugel, Rudolf S.N. Fehrmann, Marnix Bügel et al.
2023 · 35 Zit.
Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment
Antal Zemplényi, Konstantin Tachkov, László Balkányi et al.
2023 · 35 Zit.
Economic evaluations of artificial intelligence-based healthcare interventions: a systematic literature review of best practices in their conduct and reporting
Jai Vithlani, Claire Hawksworth, Jamie Elvidge et al.
2023 · 31 Zit.
Building an evidence standards framework for artificial intelligence-enabled digital health technologies
Harriet Unsworth, Verena Wolfram, Bernice Dillon et al.
2022 · 29 Zit.
Reporting standards to support cost-effectiveness evaluations of AI-driven health care
Jamie Elvidge, Dalia Dawoud
2024 · 9 Zit.
Safe AI-enabled digital health technologies need built-in open feedback
Rebecca Mathias, Baptiste Vasey, Anastasia Chalkidou et al.
2025 · 7 Zit.
Conversational AI with large language models to increase the uptake of clinical guidance
Gloria Macia, Alison Liddell, Vincent Doyle
2024 · 4 Zit.
Protocol for the development of an artificial intelligence extension to the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022
Claire Hawksworth, Jamie Elvidge, Saskia Knies et al.
2023 · 4 Zit.