University of Arizona

The coming of age of artificial intelligence in medicine

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

2008 · 611 Zit.

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

Wei-Hsuan Lo-Ciganic, James L. Huang, Hao Helen Zhang et al.

2019 · 229 Zit.

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

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

2024 · 143 Zit.

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

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

2023 · 122 Zit.

Integrative review of clinical decision support for registered nurses in acute care settings

Karen Dunn Lopez, Sheila M. Gephart, Rebecca Raszewski et al.

2016 · 92 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 · 83 Zit.

Searching for bone fractures: A comparison with pulmonary nodule search

Chartene H. Hu, Harold L. Kundel, Calvin F. Nodine et al.

1994 · 75 Zit.

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

Allan J. Hamilton

2024 · 73 Zit.

Domains, tasks, and knowledge for clinical informatics subspecialty practice: results of a practice analysis

Howard Silverman, Elaine B. Steen, Jacqueline N Carpenito et al.

2019 · 70 Zit.

Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation

Charat Thongprayoon, Wisit Kaewput, Karthik Kovvuru et al.

2020 · 66 Zit.

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

Kenneth V. Iserson

2023 · 62 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 · 61 Zit.

Does BERT need domain adaptation for clinical negation detection?

Chen Lin, Steven Bethard, Dmitriy Dligach et al.

2020 · 61 Zit.

Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study

Wei‐Hsuan Lo‐Ciganic, Julie M. Donohue, Qingnan Yang et al.

2022 · 60 Zit.

Artificial Intelligence Applications in Hepatology

Jörn M. Schattenberg, Naga Chalasani, Naim Alkhouri

2023 · 54 Zit.