Florida Atlantic University

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

Abhimanyu S. Ahuja

2019 · 773 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 · 204 Zit.

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

Joel Grunhut, Adam T M Wyatt, Oge Marques

2021 · 150 Zit.

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

Joel Grunhut, Oge Marques, Adam T M Wyatt

2022 · 148 Zit.

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

Kaila Witkowski, Ratna Okhai, Stephen Neely

2024 · 108 Zit.

Robots and Robotics in Nursing

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

2022 · 74 Zit.

Technological machines and artificial intelligence in nursing practice

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

2023 · 44 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 · 34 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 · 29 Zit.

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

Ali A. Mohamed, Brandon Lucke‐Wold

2024 · 26 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.