Florida Atlantic University

The impact of artificial intelligence in medicine on the future role of the physician

Abhimanyu S. Ahuja

2019 · 767 Zit.

The digital metaverse: Applications in artificial intelligence, medical education, and integrative health

Abhimanyu S. Ahuja, Bryce W. Polascik, Divyesh Doddapaneni et al.

2022 · 241 Zit.

Can nurses remain relevant in a technologically advanced future?

Joseph Andrew Pepito, Rozzano C. Locsin

2018 · 202 Zit.

Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes

Joel Grunhut, Adam T M Wyatt, Oge Marques

2021 · 147 Zit.

Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum

Joel Grunhut, Oge Marques, Adam T M Wyatt

2022 · 146 Zit.

Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care

Kaila Witkowski, Ratna Okhai, Stephen Neely

2024 · 97 Zit.

Robots and Robotics in Nursing

Gil P. Soriano, Yuko Yasuhara, Hirokazu Ito et al.

2022 · 72 Zit.

Technological machines and artificial intelligence in nursing practice

Brian A. Vasquez, Rainier C. Moreno‐Lacalle, Gil P. Soriano et al.

2023 · 41 Zit.

Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care

Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah

2025 · 33 Zit.

Establishing and Maintaining Research Integrity at Academic Institutions: Challenges and Opportunities

Janet D. Robishaw, David L. DeMets, Sarah Wood et al.

2019 · 31 Zit.

Healthcare robots and human generations: Consequences for nursing and healthcare

Feni Betriana, Ryuichi Tanioka, Joko Gunawan et al.

2022 · 28 Zit.

Text-to-video generative artificial intelligence: sora in neurosurgery

Ali A. Mohamed, Brandon Lucke‐Wold

2024 · 25 Zit.

Understanding the advent of artificial intelligence in ophthalmology

Abhimanyu S. Ahuja, Lawrence S. Halperin

2019 · 24 Zit.

Trustworthiness of Artificial Intelligence Models in Radiology and the Role of Explainability

Felipe Kitamura, Oge Marques

2021 · 24 Zit.

Chat Generative Pre-Trained Transformer (ChatGPT) – 3.5 Responses Require Advanced Readability for the General Population and May Not Effectively Supplement Patient-Related Information Provided by the Treating Surgeon Regarding Common Questions About Rotator Cuff Repair

E. Eng, Colton C. Mowers, Divesh Sachdev et al.

2024 · 23 Zit.