University of Wisconsin–Milwaukee

Using chatbots like <scp>ChatGPT</scp> to support nursing practice

Anthony Scerri, Karen H. Morin

2023 · 84 Zit.

Comparing Student and Generative Artificial Intelligence Chatbot Responses to Organic Chemistry Writing-to-Learn Assignments

Field M. Watts, Amber J. Dood, Ginger V. Shultz et al.

2023 · 70 Zit.

Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates

Yi Hong, Jin Zhang, Marta E. Heilbrun et al.

2011 · 39 Zit.

Generalized Radiographic View Identification with Deep Learning

Xiang Fang, Leah Harris, Wei Zhou et al.

2020 · 19 Zit.

Exploring Applications and User Experience with Generative <scp>AI</scp> Tools: A Content Analysis of Reddit Posts on <scp>ChatGPT</scp>

Wonchan Choi, Yan Zhang, Besiki Stvilia

2023 · 19 Zit.

Association of Internet Researchers (AoIR) Roundtable Summary: Artificial Intelligence and the Good Society Workshop Proceedings

Corinne Cath, Michael Zimmer, Stine Lomborg et al.

2018 · 17 Zit.

SELL ME THIS ARTIFICIAL PEN: USING CHATGPT TO ENHANCE SALES ROLE PLAYS

Alex Milovic, Moumita Das Gyomlai, Brian I. Spaid et al.

2024 · 14 Zit.

Evaluation of language analysis to summarize the literature: a comparison to traditional meta-analysis in primary hip and knee surgery

Joshua J. Myszewski, Emily Klossowski, Kristopher M. Schroeder

2021 · 9 Zit.

Interpretable machine learning text classification for clinical computed tomography reports – a case study of temporal bone fracture

Ling Tong, Luo Jake, Jazzmyne A. Adams et al.

2023 · 8 Zit.

Assessing the accuracy and explainability of using ChatGPT to evaluate the quality of health news

Xiaoyu Liu, Lu He, Eman M Alanazi et al.

2025 · 4 Zit.

I Asked ChatGPT to Do My Research: Welcoming Artificial Intelligence to the Chemistry Education Research Team

Slade C. McAfee, Jon-Marc G. Rodriguez

2025 · 3 Zit.

Deterrence and Generative Artificial Intelligence Use in Universities

Derek L. Nazareth, Jae Choi

2025 · 3 Zit.

Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Samaneh Omranian, Lu He, AkkeNeel Talsma et al.

2025 · 2 Zit.

Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Sarah M Olshan, Corey Richier, Kyle Baacke et al.

2024 · 2 Zit.

Large Vessel Occlusion Prediction in the Emergency Department with National Institutes of Health Stroke Scale Components: A Machine Learning Approach

Donglai Huo, Michelle Leppert, Rebecca Pollard et al.

2021 · 2 Zit.