University of Bristol
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes et al.
2023 · 3.546 Zit.
Addressing bias in big data and AI for health care: A call for open science
Natalia Norori, Qiyang Hu, Florence M. Aellen et al.
2021 · 767 Zit.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
Yu Chen, Tom Diethe, Peter Flach
2016 · 682 Zit.
Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma
Yee Hui Yeo, Jamil S. Samaan, Wee Han Ng et al.
2023 · 619 Zit.
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
Viknesh Sounderajah, Hutan Ashrafian, Robert Golub et al.
2021 · 301 Zit.
Assessing the Accuracy of Responses by the Language Model ChatGPT to Questions Regarding Bariatric Surgery
Jamil S. Samaan, Yee Hui Yeo, Nithya Rajeev et al.
2023 · 275 Zit.
Use of machine learning to analyse routinely collected intensive care unit data: a systematic review
Duncan Shillan, Jonathan A C Sterne, Alan Champneys et al.
2019 · 248 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 232 Zit.
Clinical AI: opacity, accountability, responsibility and liability
Helen Smith
2020 · 206 Zit.
The influence of AI text generators on critical thinking skills in UK business schools
Aniekan Essien, Oyegoke Teslim Bukoye, Xianghan O’Dea et al.
2024 · 176 Zit.
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation
Shuyin Ouyang, Jie M. Zhang, Mark Harman et al.
2024 · 134 Zit.
Machine learning improves mortality risk prediction after cardiac surgery: Systematic review and meta-analysis
Umberto Benedetto, Arnaldo Dimagli, Shubhra Sinha et al.
2020 · 122 Zit.
Generative AI and the Automating of Academia
Richard Watermeyer, Lawrie Phipps, Donna Lanclos et al.
2023 · 119 Zit.
Research integrity: Don't let transparency damage science
Stephan Lewandowsky, Dorothy Bishop
2016 · 109 Zit.
Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review
Robin Borchert, Tiago Azevedo, AmanPreet Badhwar et al.
2023 · 99 Zit.