Manchester Metropolitan University

The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions

Keng‐Boon Ooi, Garry Wei‐Han Tan, Mostafa Al‐Emran et al.

2023 · 598 Zit.

Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions

Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya et al.

2023 · 123 Zit.

A Systematic Review of Generative AI for Teaching and Learning Practice

Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao et al.

2024 · 120 Zit.

Reporting quality of studies using machine learning models for medical diagnosis: a systematic review

Mohamed Yusuf, Ignacio Atal, Jacques Li et al.

2020 · 105 Zit.

Plagiarism: Do Students Know What It Is?

Maureen Dawson, Joyce Overfield

2006 · 83 Zit.

Understanding the impact of ChatGPT on tourism and hospitality: Trends, prospects and research agenda

Μαριάννα Σιγάλα, Keng‐Boon Ooi, Garry Wei‐Han Tan et al.

2024 · 79 Zit.

Medical Diagnosis Using Machine Learning: A Statistical Review

Kaustubh Arun Bhavsar, Jimmy Singla, Yasser D. Al‐Otaibi et al.

2021 · 61 Zit.

Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care

Garrett S. Bullock, Tom Hughes, Amelia H. Arundale et al.

2022 · 59 Zit.

The rise and ‘fall’ of expert systems in medicine

Heather Heathfield

1999 · 35 Zit.

A model for exploring student understandings of plagiarism

Anna Sutton, David Taylor, Carol S. Johnston

2012 · 33 Zit.

AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia

Hemant Ghayvat, Muhammad Awais, Ali Kashif Bashir et al.

2022 · 31 Zit.

Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

Elisa Roldán, Neil D. Reeves, Glen Cooper et al.

2024 · 13 Zit.

Artificial Intelligence-Based Classification of CT Images Using a Hybrid SpinalZFNet

Faiqa Maqsood, Zhenfei Wang, Muhammad Mumtaz Ali et al.

2024 · 13 Zit.

Random Forest for Data Aggregation to Monitor and Predict COVID-19 Using Edge Networks

Mainak Adhikari, M. Ambigavathi, Varun G. Menon et al.

2021 · 12 Zit.

Artificial intelligence and soft skills in radiation oncology: Data versus wisdom

Ian S. Boon, J.S. Lim, Moi Hoon Yap et al.

2020 · 9 Zit.