AI Resources
AI-Powered Tools & Guidance
Artificial intelligence is becoming an increasingly valuable tool in biomedical research, healthcare, and scientific discovery. This page provides educational resources, expert consultation opportunities, and current information to help researchers develop AI literacy, explore practical applications, and implement AI responsibly in research. From introductory learning opportunities to specialized data science support, these resources are designed to help researchers leverage AI while maintaining scientific rigor and ethical research practices.
AI Information Sessions
Responsible AI Information Series
This virtual seminar series helps participants build confidence and understanding around responsible artificial intelligence and its practical applications in research, education, and the workplace. Session recordings are available for those unable to attend live presentations.
Learning Opportunities
AI/Machine Learning Education Series
This virtual educational series introduces participants to current topics in artificial intelligence and machine learning through tutorials, rapid labs, and presentations from industry experts. No prior experience is required, and participants may attend individual sessions or the full series.
AI & Data Science Support
AI²S Consultations
Receive expert guidance on artificial intelligence, machine learning, and data science applications for research projects.
Consultations help researchers:
- Explore potential AI solutions
- Evaluate project feasibility
- Understand technical requirements
- Identify next steps for implementation
Updated Guidance for Author Use of AI in Medical Publication
JAMA’s updated guidance outlines appropriate and prohibited uses of artificial intelligence in medical publishing, including requirements for disclosure, author responsibility, manuscript preparation, references, peer review, and AI-generated images and data visualizations. This resource is particularly useful for researchers and authors incorporating AI tools into research and scholarly publishing.
Published: August 10, 2026 | JAMA
Newsletters
Medical Ethics Card
The Edge Where Science Meets Ethics and Where AI Now Stands
David H. Beyda, MD, Chair and Professor, Department of Bioethics and Medical Humanism, College of Medicine-Phoenix, University of Arizona
Additional Resources
U of A GenAI
UA-operated platform for various large language models, such as Gemini or ChatGPT, that can be used free of charge by UA-affiliated personnel. It is designed to support work with sensitive research data that should not be shared with external companies or used to train third-party AI models. Important: Do not upload Protected Health Information (PHI) to this tool.
Resources from the Office of Responsible Artificial Intelligence
AI Tools at U of A
The University of Arizona provides access to a growing suite of generative AI tools and guidance for responsible use. Explore U of A-supported tools vetted for academic use, with an emphasis on data privacy and responsible AI practices.
TriNetX
Research platform that provides access to de-identified clinical data from Banner/Cerner. Because the data are already de-identified, access may be faster than requesting data directly from the electronic health record (EHR), though the available data may be more limited than with direct EHR access.