University of Washington Tacoma
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Interpretable Machine Learning in Healthcare
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2018 · 491 Zit.
Fairness in Machine Learning for Healthcare
Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert et al.
2020 · 67 Zit.
Management and Data Sharing of COVID-19 Pandemic Information
Frank Gao, Liang Tao, Yu Huang et al.
2020 · 30 Zit.
Artificial intelligence in nursing education: A review of AI-based teaching pedagogies
Leodoro J. Labrague, Sulaiman Al Sabei, Asma Al Yahyaei
2025 · 26 Zit.
Fairness, accountability, transparency in AI at scale
Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert
2020 · 22 Zit.
Comparison of error rates between four pretrained DenseNet convolutional neural network models and 13 board‐certified veterinary radiologists when evaluating 15 labels of canine thoracic radiographs
Adrien‐Maxence Hespel, Emilie Boissady, De La Comble Alois et al.
2022 · 21 Zit.
Software as a Medical Device
Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen et al.
2021 · 18 Zit.
Nursing students' perceptions of artificial intelligence (AI) using the technology acceptance model: A systematic review
Leodoro J. Labrague, Maryam Al Harrasi
2025 · 13 Zit.
Utilizing Artificial Intelligence–Based Tools for Addressing Clinical Queries: ChatGPT Versus Google Gemini
Leodoro J. Labrague
2024 · 12 Zit.
Uncovering the Influence of ChatGPT’s Prompts on Scientific Writings using Machine Learning-Based Text Mining Approaches
Boniphace Kutela, Kelvin Msechu, Norris Novat et al.
2023 · 6 Zit.
Where is the Boundary? Understanding How People Recognize and Evaluate Generative AI-extended Videos
Ke Wang, Lehao Lin, Maha Abdallah et al.
2025 · 2 Zit.
Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
Daniil Filienko, Yinzhou Wang, Caroline El Jazmi et al.
2024 · 2 Zit.
Evaluation of an AI-Assisted Platform to Support Tuberculosis Care Delivery
Sarah Iribarren, Weichao Yuwen, Daniil Filienko et al.
2025 · 0 Zit.
Developing an AI-Assisted Platform to Support Tuberculosis Care Delivery
Sarah Iribarren, Weichao Yuwen, Martine De Cock
2024 · 0 Zit.
14th Workshop on Parallel and AI-based Bioinformatics and Biomedicine (ParBio): Editorial
Giuseppe Agapito, Mario Cannataro, Wes Lloyd et al.
2025 · 0 Zit.