National Institute for Health and Care Research
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U. Kale et al.
2019 · 1.743 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 · 927 Zit.
International consensus statement on the peri‐operative management of anaemia and iron deficiency
Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.
2016 · 817 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 · 554 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 · 546 Zit.
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications
Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad et al.
2019 · 522 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 · 464 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 · 397 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 · 352 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 · 320 Zit.
Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al.
2021 · 260 Zit.
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer et al.
2023 · 243 Zit.
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines
Hussein Ibrahim, Xiaoxuan Liu, Samantha Cruz Rivera et al.
2021 · 128 Zit.
New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology
Siddharth Nath, Abdullah Marie, Simon Ellershaw et al.
2022 · 120 Zit.
Artificial intelligence: revolutionizing cardiology with large language models
Machteld Boonstra, Davy Weissenbacher, Jason H. Moore et al.
2024 · 96 Zit.