Imperial College London

The future of digital health with federated learning

Nicola Rieke, Jonny Hancox, Wenqi Li et al.

2020 · 2.200 Zit.

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 · 1.438 Zit.

Secure, privacy-preserving and federated machine learning in medical imaging

Georgios Kaissis, Marcus R. Makowski, Daniel Rückert et al.

2020 · 1.210 Zit.

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Matthieu Komorowski, Leo Anthony Celi, Omar Badawi et al.

2018 · 1.138 Zit.

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

Myura Nagendran, Yang Chen, Christopher A. Lovejoy et al.

2020 · 990 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 · 885 Zit.

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Ravi Aggarwal, Viknesh Sounderajah, Guy Martin et al.

2021 · 809 Zit.

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

Guang Yang, Qinghao Ye, Jun Xia

2021 · 670 Zit.

Electronic health records to facilitate clinical research

Martín Cowie, Juuso Blomster, Lesley H. Curtis et al.

2016 · 657 Zit.

Revised Surgical CAse REport (SCARE) Guideline: An Update for the Age of Artificial Intelligence

Ahmed Kerwan, Ahmed Al‐Jabir, Ginimol Mathew et al.

2025 · 562 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 · 537 Zit.

Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration

Andrzej A. Kononowicz, Luke Woodham, Samuel Edelbring et al.

2019 · 517 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 · 516 Zit.

The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review

Madison Milne‐Ives, Caroline de Cock, Ernest Lim et al.

2020 · 515 Zit.

Surgical data science for next-generation interventions

Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.

2017 · 505 Zit.