Bournemouth University

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 · 3.292 Zit.

How the different explanation classes impact trust calibration: The case of clinical decision support systems

Mohammad Naiseh, Dena Al‐Thani, Nan Jiang et al.

2022 · 111 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 · 78 Zit.

The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers

Benard Ohene Botwe, Theophilus N. Akudjedu, William K. Antwi et al.

2021 · 74 Zit.

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

William K. Antwi, Theophilus N. Akudjedu, Benard Ohene Botwe

2021 · 67 Zit.

Radiographers’ perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study

Benard Ohene Botwe, William K. Antwi, Samuel Arkoh et al.

2021 · 67 Zit.

Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey

Theophilus N. Akudjedu, Sofia Torre, Ricardo Khine et al.

2022 · 57 Zit.

Personalising Explainable Recommendations: Literature and Conceptualisation

Mohammad Naiseh, Nan Jiang, Jianbing Ma et al.

2020 · 38 Zit.

Can ChatGPT Be Addictive? A Call to Examine the Shift from Support to Dependence in AI Conversational Large Language Models

Ala Yankouskaya, Magnus Liebherr, Raian Ali

2025 · 37 Zit.

Impact of artificial intelligence on clinical radiography practice: Futuristic prospects in a low resource setting

A.-R. Wuni, Benard Ohene Botwe, Theophilus N. Akudjedu

2021 · 32 Zit.

Explainable Recommendations and Calibrated Trust: Two Systematic User Errors

Mohammad Naiseh, Deniz Cemiloglu, Dena Al‐Thani et al.

2021 · 26 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.

Towards Explainable AI: Design and Development for Explanation of Machine Learning Predictions for a Patient Readmittance Medical Application

Sofia Meacham, Georgia Isaac, Detlef Nauck et al.

2019 · 21 Zit.

C-XAI: A conceptual framework for designing XAI tools that support trust calibration

Mohammad Naiseh, Auste Simkute, Baraa Zieni et al.

2024 · 20 Zit.

Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks

Mohammad Naiseh, Nan Jiang, Jianbing Ma et al.

2020 · 20 Zit.