University of New Mexico

The CLEAR path: A framework for enhancing information literacy through prompt engineering

Leo S. Lo

2023 · 255 Zit.

The Art and Science of Prompt Engineering: A New Literacy in the Information Age

Leo S. Lo

2023 · 85 Zit.

Ethics of AI in Pathology

Chhavi Chauhan, Rama R. Gullapalli

2021 · 83 Zit.

Artificial intelligence, drug repurposing and peer review

Jeremy M. Levin, Tudor I. Oprea, Sagie Davidovich et al.

2020 · 74 Zit.

Radiogenomics for Precision Medicine With a Big Data Analytics Perspective

Andreas S. Panayides, Marios S. Pattichis, Stephanos Leandrou et al.

2018 · 65 Zit.

Artificial intelligence and digital pathology: clinical promise and deployment considerations

Mark D. Zarella, David S. McClintock, Harsh Vardhan Batra et al.

2023 · 39 Zit.

Transforming academic librarianship through AI reskilling: Insights from the GPT-4 exploration program

Leo S. Lo

2024 · 31 Zit.

AI policies across the globe: Implications and recommendations for libraries

Leo S. Lo

2023 · 28 Zit.

Stakeholder Opinions and Ethical Perspectives Support Complete Disclosure of Incidental Findings in MRI Research

J. P. Phillips, Caitlin Cole, John P. Gluck et al.

2014 · 26 Zit.

‘Ethical responsibility’ or ‘a whole can of worms’: differences in opinion on incidental finding review and disclosure in neuroimaging research from focus group discussions with participants, parents, IRB members, investigators, physicians and community members

Caitlin Cole, Linda E. Petree, J. P. Phillips et al.

2015 · 23 Zit.

Evolution of universal review and disclosure of <scp>MRI</scp> reports to research participants

Jody M. Shoemaker, Caitlin Cole, Linda E. Petree et al.

2016 · 21 Zit.

Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians’ assistants in Kansas: a cross-sectional survey

Tanner Dean, Rajeev Seecheran, Robert G. Badgett et al.

2024 · 17 Zit.

Harnessing the Power of Generative Artificial Intelligence in Pathology Education: Opportunities, Challenges, and Future Directions

Matthew J. Cecchini, M Borowitz, Eric F. Glassy et al.

2024 · 16 Zit.

Generative Artificial Intelligence in Pathology and Medicine: A Deeper Dive

Hooman H. Rashidi, Joshua Pantanowitz, Alireza Chamanzar et al.

2024 · 15 Zit.

Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology

Hong‐Jun Yoon, Christopher B. Stanley, J. Blair Christian et al.

2022 · 14 Zit.