University of East Anglia
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 1.798 Zit.
A scoping review of artificial intelligence in medical education: BEME Guide No. 84
Morris Gordon, Michelle Daniel, Aderonke Ajiboye et al.
2024 · 358 Zit.
Artificial intelligence and medical education: A global mixed-methods study of medical students’ perspectives
Hamza Ejaz, Hari McGrath, Brian Li Han Wong et al.
2022 · 99 Zit.
Does ChatGPT Argue Like Students? Bundles in Argumentative Essays
Feng Jiang, Ken Hyland
2024 · 56 Zit.
Voice recognition for radiology reporting: Is it good enough?
Dhillon Rana, G Hurst, Lee Shepstone et al.
2005 · 55 Zit.
Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery
Wireko Andrew Awuah, Favour Tope Adebusoye, Jack Wellington et al.
2024 · 40 Zit.
Artificial intelligence in sport: A narrative review of applications, challenges and future trends
Diwei Zhou, Justin Keogh, YingLiang Ma et al.
2025 · 32 Zit.
Bridging the digital divide: artificial intelligence as a catalyst for health equity in primary care settings
Ayokunle Osonuga, Adewoyin Osonuga, Sandra Chinaza Fidelis et al.
2025 · 29 Zit.
Rhetorical distinctions: Comparing metadiscourse in essays by ChatGPT and students
Feng Jiang, Ken Hyland
2025 · 27 Zit.
A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders
Nikolaos Stogiannos, Caitlin Gillan, Helle Precht et al.
2024 · 24 Zit.
Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review
Arif Budiarto, Kevin C.H. Tsang, Andrew M. Wilson et al.
2023 · 22 Zit.
Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies
Samer Alabed, Ahmed Maiter, Mahan Salehi et al.
2022 · 20 Zit.
Working with robots: Trends and future directions
Siqi Wang, Weng Marc Lim, Jun‐Hwa Cheah et al.
2024 · 17 Zit.
What does it mean to be aphasia aware? An international survey of stakeholder perspectives and experiences of aphasia awareness
Claire Bennington, Ciara Shiggins, Jytte Isaksen et al.
2024 · 10 Zit.
Developing an online, searchable database to systematically map and organise current literature on retention research (ORRCA2)
Anna Kearney, Polly‐Anna Ashford, Laura Butlin et al.
2021 · 9 Zit.