Birmingham City University

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Julia Amann, Alessandro Blasimme, Effy Vayena et al.

2020 · 1.700 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 · 708 Zit.

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.

2022 · 194 Zit.

Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts

Awais Ahmed, Rui Xi, Mengshu Hou et al.

2023 · 115 Zit.

You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly

Marieke Bak, Vince I. Madai, Marie-Christine Fritzsche et al.

2022 · 107 Zit.

A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare

Jana Fehr, Brian Citro, Rohit Malpani et al.

2024 · 94 Zit.

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke

Julia Amann, Effy Vayena, Kelly E. Ormond et al.

2023 · 89 Zit.

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Roberto V. Zicari, Sheraz Ahmed, Julia Amann et al.

2021 · 65 Zit.

A survey on artificial intelligence in histopathology image analysis

Mohammed M. Abdelsamea, Usama Zidan, Zakaria Senousy et al.

2022 · 64 Zit.

Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review

Ela M. Akay, Adam Hilbert, Benjamin Gregory Carlisle et al.

2023 · 56 Zit.

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

Roberto V. Zicari, James Brusseau, Stig Nikolaj Fasmer Blomberg et al.

2021 · 51 Zit.

The Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU

Patrick Rockenschaub, Adam Hilbert, Tabea Kossen et al.

2024 · 51 Zit.

Future of AI & Generation Alpha: ChatGPT beyond Boundaries

Bharati Rathore

2023 · 41 Zit.

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Himanshi Allahabadi, Julia Amann, Isabelle Balot et al.

2022 · 36 Zit.

Digital twins for the era of personalized surgery

Yosra Magdi Mekki, Gijs Luijten, Elisabet Hagert et al.

2025 · 35 Zit.