King's College London

The future of digital health with federated learning

Nicola Rieke, Jonny Hancox, Wenqi Li et al.

2020 · 2.346 Zit.

Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study

Khaled M. Musallam, Hani Tamim, Toby Richards et al.

2011 · 1.238 Zit.

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas et al.

2022 · 1.154 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 · 716 Zit.

Generating scholarly content with ChatGPT: ethical challenges for medical publishing

Michael Liebrenz, Roman Schleifer, Anna Buadze et al.

2023 · 585 Zit.

Privacy-Preserving Federated Brain Tumour Segmentation

Wenqi Li, Fausto Milletarì, Daguang Xu et al.

2019 · 508 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 · 481 Zit.

The Lancet Commission on diagnostics: transforming access to diagnostics

Kenneth A Fleming, Susan Horton, Michael L. Wilson et al.

2021 · 422 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 361 Zit.

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials

Iain Marshall, Joël Kuiper, Byron Wallace

2015 · 316 Zit.

Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks

Mauro Annarumma, Samuel J. Withey, Robert Bakewell et al.

2019 · 281 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 · 274 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 · 270 Zit.

Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations

Michael P. Recht, Marc Dewey, Keith Dreyer et al.

2020 · 235 Zit.

Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

James Thomas, Steve McDonald, Anna H Noel-Storr et al.

2020 · 228 Zit.