Aston University
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 · 3.380 Zit.
Unlocking the value of artificial intelligence in human resource management through AI capability framework
Soumyadeb Chowdhury, Prasanta Kumar Dey, Sian Joel-Edgar et al.
2022 · 751 Zit.
Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT
Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood et al.
2023 · 704 Zit.
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 · 683 Zit.
An artificial intelligence model for heart disease detection using machine learning algorithms
Victor Chang, Vallabhanent Rupa Bhavani, Qianwen Xu et al.
2022 · 290 Zit.
Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover
Soumyadeb Chowdhury, Sian Joel-Edgar, Prasanta Kumar Dey et al.
2022 · 103 Zit.
Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment
U Hin Lai, Keng Sam Wu, Ting-Yu Hsu et al.
2023 · 64 Zit.
Utility of artificial intelligence‐based large language models in ophthalmic care
Sayantan Biswas, Leon N. Davies, Amy L. Sheppard et al.
2024 · 52 Zit.
Acting on incidental findings in research imaging
Joanna M. Wardlaw, H. Dele Davies, Thomas C. Booth et al.
2015 · 42 Zit.
Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens
Izegbua E. Ihongbe, Shereen Fouad, Taha F. Mahmoud et al.
2024 · 32 Zit.
Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK
Saoudi Ce Nouis, Victoria Uren, Sunit Jariwala
2025 · 30 Zit.
Chat Generative Pre-Trained Transformer (ChatGPT): Comprehending its Operational Structure, AI Techniques, Working, Features and Limitations
Ishita Naik, Dishita Naik, Nitin Naik
2023 · 20 Zit.
The neuroimaging research process from the participants' perspective
Richard Cooke, Elizabeth Peel, Rachel Shaw et al.
2006 · 19 Zit.
Ethical Implications of AI in Healthcare Data: A Case Study Using Healthcare Data Breaches from the US Department of Health and Human Services Breach Portal between 2009-2021
Augustina O. Ugwu, Xianghua Gao, Johnson Ugwu et al.
2022 · 12 Zit.
ChatGPT Is All You Need: Untangling Its Underlying AI Models, Architecture, Training Procedure, Capabilities, Limitations And Applications
Ishita Naik, Dishita Naik, Nitin Naik
2024 · 10 Zit.