University of Leeds
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
Rosario Michel‐Villarreal, Eliseo Luis Vilalta-perdomo, David Ernesto Salinas-Navarro et al.
2023 · 707 Zit.
HR and analytics: why HR is set to fail the big data challenge
David Angrave, Andy Charlwood, Ian Kirkpatrick et al.
2016 · 574 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 462 Zit.
Testing of detection tools for AI-generated text
Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba et al.
2023 · 386 Zit.
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.
2018 · 359 Zit.
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 343 Zit.
Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
Alaa Abd‐Alrazaq, Mohannad Alajlani, Nashva Ali et al.
2020 · 304 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.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 284 Zit.
The intelligent library
Andrew Cox, Stephen Pinfield, Sophie Rutter
2018 · 276 Zit.
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer et al.
2023 · 256 Zit.
Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.
2020 · 238 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 227 Zit.
In the Laboratory
Pauline E. Millican, David J. Adams
2007 · 147 Zit.
Application of BMP-7 to tibial non-unions: A 3-year multicenter experience
Nikolaos K. Kanakaris, Giorgio Maria Calori, René Verdonk et al.
2008 · 146 Zit.