Open Data Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al.
2021 · 265 Zit.
An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.
2023 · 137 Zit.
Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
Chang Ho Yoon, Robert Torrance, Naomi Scheinerman
2021 · 119 Zit.
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.
2023 · 105 Zit.
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
Qiang Liu, Nemanja Vaci, Ivan Koychev et al.
2022 · 46 Zit.
A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals
Andrew A. S. Soltan, Anshul Thakur, Jenny Yang et al.
2024 · 36 Zit.
Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation
James P. Howard, Qiang Zhang, Ahmed Salih et al.
2025 · 3 Zit.
On Biases in a UK Biobank-Based Retinal Image Classification Model
Anissa Alloula, Rima Mustafa, Daniel R. McGowan et al.
2024 · 2 Zit.
Evaluating the use of red flags by online symptom checkers
Shailen Sutaria, Delan Devakumar, Poppy Alice Carson Mallinson et al.
2025 · 1 Zit.
RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness
Alexey Youssef, Tingting Zhu, Anshul Thakur et al.
2022 · 1 Zit.
A survey on practitioners’ attitudes toward artificial intelligence in radiology
Tin Orešković, Žiga Snoj, Mili Sanwalka et al.
2023 · 1 Zit.
PETs in Practice: using trusted research environments to enable health data research
Neil Majithia, Elena Simperl, Calum Inverarity et al.
2024 · 0 Zit.
An actionable framework for AI‐ready data
Neil Majithia, Thomas Carey‐Wilson, Elena Simperl et al.
2026 · 0 Zit.
Public perceptions of health data sharing for artificial intelligence research: a qualitative focus group study in the UK
Rachel Kuo, Ciarán O’Hanlon, Judi Helen Smith et al.
2026 · 0 Zit.
Generative AI, Can You Help Us Bridge the Implementation Gap in Contracting?
Robert Waller, Helena Haapio, Patrick Shone
2025 · 0 Zit.