Missouri University of Science and Technology

Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration

Fiona Fui‐Hoon Nah, Ruilin Zheng, Jingyuan Cai et al.

2023 · 1.124 Zit.

Artificial Intelligence (AI) Ethics

Keng Siau, Weiyu Wang

2020 · 445 Zit.

Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review

Harishankar Vasudevanallur Subramanian, Casey Canfield, Daniel B. Shank

2024 · 42 Zit.

Ethical and Moral Issues with AI - A Case Study on Healthcare Robots

Weiyu Wang, Keng Siau

2018 · 23 Zit.

Redesigning Informed Consent Tools for Specific Research

David Wright

2012 · 19 Zit.

Reducing Kidney Discard With Artificial Intelligence Decision Support: the Need for a Transdisciplinary Systems Approach

Richard Threlkeld, Lirim Ashiku, Casey Canfield et al.

2021 · 15 Zit.

Machine Learning Models and Big Data Tools for Evaluating Kidney Acceptance

Lirim Ashiku, Md. Al-Amin, Sanjay Madria et al.

2021 · 14 Zit.

No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine

Tayo Obafemi-Ajayi, Andy Perkins, Bindu Nanduri et al.

2021 · 8 Zit.

Predicting Opioid Use Outcomes in Minoritized Communities

Abhay Goyal, Nimay Parekh, Lam Yin Cheung et al.

2023 · 4 Zit.

Acing the Fundamentals of Radiology: An Online Series for Medical Students and Interns

Serageldin Kamel, Mindy X. Wang, Sammar Ghannam et al.

2022 · 4 Zit.

Interpreting Deep Ensemble Learning through Radiologist Annotations for COVID-19 Detection in Chest Radiographs

Sivaramakrishnan Rajaraman, Sudhir Sornapudi, Philip O. Alderson et al.

2020 · 4 Zit.

System-of-Systems Approach for Improving Quality of Kidney Transplant Decision-Making Support for Transplant Surgeons

Rachel Dzieran, Lirim Ashiku, Richard Threlkeld et al.

2024 · 2 Zit.

Engineering Students’ Understanding of Plagiarism

Susan L. Murray, Amber M. Henslee, Douglas K. Ludlow

2015 · 2 Zit.

Triangulating primary sources, professional judgement, and LLM-generated summaries: Educating nurses in an AI-first world

Sarah Oerther, Daniel B. Oerther

2026 · 1 Zit.

The importance of transparency, accountability, and verifiability when using artificial intelligence in nursing education

Sarah Oerther, Daniel B. Oerther

2025 · 1 Zit.