University of Arizona

The coming of age of artificial intelligence in medicine

Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli et al.

2008 · 602 Zit.

Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines

Hui Wang, Anh Kim Dang, Zihao Wu et al.

2024 · 118 Zit.

Diverse patients’ attitudes towards Artificial Intelligence (AI) in diagnosis

Christopher T. Robertson, Andrew Keane Woods, Kelly Bergstrand et al.

2023 · 110 Zit.

Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Ryo Fujimori, Keibun Liu, Shoko Soeno et al.

2022 · 78 Zit.

Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education

Allan J. Hamilton

2024 · 65 Zit.

Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation

Charat Thongprayoon, Wisit Kaewput, Karthik Kovvuru et al.

2020 · 64 Zit.

A rapid review on current and potential uses of large language models in nursing

Mollie Hobensack, Hanna von Gerich, Pankaj Vyas et al.

2024 · 59 Zit.

Informed consent for artificial intelligence in emergency medicine: A practical guide

Kenneth V. Iserson

2023 · 58 Zit.

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges

Ruben Amarasingham, Anne‐Marie J. Audet, David W. Bates et al.

2016 · 53 Zit.

Artificial Intelligence Applications in Hepatology

Jörn M. Schattenberg, Naga Chalasani, Naim Alkhouri

2023 · 51 Zit.

The Cases for and against Artificial Intelligence in the Medical School Curriculum

Brandon Ngo, Diep Nguyen, Eric vanSonnenberg

2022 · 51 Zit.

The Importance of Memory in Informed Consent for Surgical Risk

Valerie F. Reyna, Allan J. Hamilton

2001 · 49 Zit.

Beware of references when using ChatGPT as a source of information to write scientific articles

Luis Sanchez‐Ramos, Lifeng Lin, Roberto Romero

2023 · 49 Zit.

AI chatbots can boost scientific coding

Cory Merow, Josep M. Serra‐Diaz, Brian J. Enquist et al.

2023 · 47 Zit.

What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

Deanna M. Kaplan, Roman Palitsky, Santiago J Arconada Alvarez et al.

2024 · 46 Zit.