University of New Mexico

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

Leo S. Lo

2023 · 280 Zit.

Ethics of AI in Pathology

Chhavi Chauhan, Rama R. Gullapalli

2021 · 91 Zit.

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

Leo S. Lo

2023 · 90 Zit.

Artificial intelligence, drug repurposing and peer review

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

2020 · 77 Zit.

Radiogenomics for Precision Medicine With a Big Data Analytics Perspective

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

2018 · 66 Zit.

Artificial intelligence and digital pathology: clinical promise and deployment considerations

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

2023 · 41 Zit.

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

Leo S. Lo

2024 · 35 Zit.

Web-based study on Chinese dermatologists’ attitudes towards artificial intelligence

Changbing Shen, Chengxu Li, Feng Xu et al.

2020 · 32 Zit.

AI policies across the globe: Implications and recommendations for libraries

Leo S. Lo

2023 · 30 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.

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 · 22 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.

Generative Artificial Intelligence in Pathology and Medicine: A Deeper Dive

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

2024 · 19 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 · 18 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.