University of St Andrews

A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

Melissa Bond, Hassan Khosravi, Maarten de Laat et al.

2024 · 453 Zit.

Does artificial intelligence have a role in the IVF clinic?

Darren J X Chow, Philip Wijesinghe, Kishan Dholakia et al.

2021 · 49 Zit.

Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening

Clarisse F. de Vries, Samantha J. Colosimo, Roger T. Staff et al.

2023 · 48 Zit.

ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case–Based Questions

Christoph Raphael Buhr, Harry A. Smith, Tilman Huppertz et al.

2023 · 39 Zit.

Exploring ethical dimensions of AI-enhanced language education: A literature perspective

Mohamed Sitheeque Peer Mohamed

2024 · 27 Zit.

Quality assurance and validity of AI-generated single best answer questions

Ayla Ahmed, Ellen Kerr, Andrew O’Malley

2025 · 16 Zit.

Urology consultants versus large language models: Potentials and hazards for medical advice in urology

Johanna Eckrich, Jörg Ellinger, Alexander Cox et al.

2024 · 14 Zit.

Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias

Andrew O’Malley, Miriam Veenhuizen, Ayla Ahmed

2024 · 10 Zit.

Assessing unknown potential—quality and limitations of different large language models in the field of otorhinolaryngology

Christoph Raphael Buhr, Harry A. Smith, Tilman Huppertz et al.

2024 · 10 Zit.

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports

Arlene Casey, Emma Davidson, Claire Grover et al.

2023 · 9 Zit.

FedFly: Toward Migration in Edge-Based Distributed Federated Learning

Rehmat Ullah, Di Wu, Paul Harvey et al.

2022 · 9 Zit.

AI WRITING CORRECTION TOOLS: TEACHERS AND STUDENTS’ PERCEPTION

Mulyono Putra

2023 · 9 Zit.

Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery

Christoph Raphael Buhr, Benjamin Philipp Ernst, Andrew Blaikie et al.

2025 · 9 Zit.

Achieving fair medical image segmentation in foundation models with adversarial visual prompt tuning

Yuqi Li, Yanli Li, Kai Zhang et al.

2025 · 7 Zit.

Empowering health care consumers & understanding patients' perspectives on AI integration in oncology and surgery: A perspective

Wireko Andrew Awuah, Nicholas Aderinto, Jeisun Poornaselvan et al.

2024 · 5 Zit.