King's College London
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li et al.
2020 · 2.217 Zit.
Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study
Khaled M. Musallam, Hani Tamim, Toby Richards et al.
2011 · 1.229 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.112 Zit.
Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT
Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood et al.
2023 · 685 Zit.
Generating scholarly content with ChatGPT: ethical challenges for medical publishing
Michael Liebrenz, Roman Schleifer, Anna Buadze et al.
2023 · 579 Zit.
Privacy-Preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletarì, Daguang Xu et al.
2019 · 496 Zit.
Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey
Cherry Sit, Rohit Srinivasan, Ashik Amlani et al.
2020 · 470 Zit.
The Lancet Commission on diagnostics: transforming access to diagnostics
K A Fleming, Susan Horton, Michael L. Wilson et al.
2021 · 395 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 345 Zit.
RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials
Iain Marshall, Joël Kuiper, Byron Wallace
2015 · 313 Zit.
Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks
Mauro Annarumma, Samuel J. Withey, Robert Bakewell et al.
2019 · 275 Zit.
Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study
Israel Valverde, Gorka Gómez, Tarique Hussain et al.
2017 · 270 Zit.
Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations
Michael P. Recht, Marc Dewey, Keith Dreyer et al.
2020 · 230 Zit.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 225 Zit.
Impact of the coronavirus (COVID-19) pandemic on scientific research and implications for clinical academic training – A review
Catrin Sohrabi, Ginimol Mathew, Thomas Franchi et al.
2021 · 223 Zit.