Cambridge University Hospitals NHS Foundation Trust
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe et al.
2020 · 937 Zit.
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe et al.
2021 · 908 Zit.
International consensus statement on the peri‐operative management of anaemia and iron deficiency
Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.
2016 · 831 Zit.
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants
Ahmed M. Alaa, Thomas Bolton, Emanuele Di Angelantonio et al.
2019 · 597 Zit.
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database
Chang‐Hee Lee, Alexander Light, Ahmed M. Alaa et al.
2021 · 119 Zit.
Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
Sarah Hickman, Gabrielle Baxter, Fiona J. Gilbert
2021 · 105 Zit.
Tackling bias in AI health datasets through the STANDING Together initiative
Shaswath Ganapathi, Joanne Palmer, Joseph Alderman et al.
2022 · 80 Zit.
The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine
Louise I T Lee, Senthooran Kanthasamy, Radha S Ayyalaraju et al.
2019 · 70 Zit.
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek et al.
2024 · 67 Zit.
Utilizing generative conversational artificial intelligence to create simulated patient encounters: a pilot study for anaesthesia training
Neil Sardesai, Paolo Russo, Jonathan Martín et al.
2024 · 55 Zit.
Performance of ChatGPT on the Situational Judgement Test—A Professional Dilemmas–Based Examination for Doctors in the United Kingdom
Robin Borchert, Charlotte R Hickman, J. Pepys et al.
2023 · 40 Zit.
Digital twins for the era of personalized surgery
Yosra Magdi Mekki, Gijs Luijten, Elisabet Hagert et al.
2025 · 40 Zit.
Machine learning in transfusion medicine: A scoping review
Suzanne Maynard, Joseph Farrington, Samah Alimam et al.
2023 · 37 Zit.
Perception of the Progressing Digitization and Transformation of the German Health Care System Among Experts and the Public: Mixed Methods Study
Arne Hansen, Maximilian Herrmann, Jan P. Ehlers et al.
2019 · 32 Zit.
AI-powered prostate cancer detection: a multi-centre, multi-scanner validation study
Francesco Giganti, Nádia Moreira da Silva, Michael Yeung et al.
2025 · 28 Zit.