Pace University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
“Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment
Dakuo Wang, Liuping Wang, Zhan Zhang et al.
2021 · 189 Zit.
Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study
Xiangmin Fan, Daren Chao, Zhan Zhang et al.
2020 · 149 Zit.
Z-Inspection<sup>®</sup>: A Process to Assess Trustworthy AI
Roberto V. Zicari, John Brodersen, James Brusseau et al.
2021 · 117 Zit.
Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data
Zhan Zhang, Daniel Citardi, Dakuo Wang et al.
2021 · 98 Zit.
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems
Zhan Zhang, Yegin Genc, Dakuo Wang et al.
2021 · 91 Zit.
Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review
Liuping Wang, Zhan Zhang, Dakuo Wang et al.
2023 · 75 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 Protocol-Driven, Bedside Digital Conversational Agent to Support Nurse Teams and Mitigate Risks of Hospitalization in Older Adults: Case Control Pre-Post Study
Nick Bott, Sharon Stahl Wexler, Lin J. Drury et al.
2019 · 63 Zit.
Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study
A. Baki Kocaballı, Emre Sezgın, Leigh Clark et al.
2022 · 52 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.
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.
Lay individuals' perceptions of artificial intelligence (<scp>AI</scp>)‐empowered healthcare systems
Zhan Zhang, Yegin Genc, Aiwen Xing et al.
2020 · 36 Zit.
AI human impact: toward a model for ethical investing in AI-intensive companies
James Brusseau
2021 · 32 Zit.
Using Edge Cases to Disentangle Fairness and Solidarity in AI Ethics
James Brusseau
2021 · 22 Zit.
State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis
Soheyla Amirian, Fengyi Gao, Nickolas Littlefield et al.
2025 · 18 Zit.