University of Gothenburg

What if your patient switches from Dr. Google to Dr. ChatGPT? A vignette-based survey of the trustworthiness, value, and danger of ChatGPT-generated responses to health questions

Liesbet Van Bulck, Philip Moons

2023 · 138 Zit.

ChatGPT: can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals

Philip Moons, Liesbet Van Bulck

2023 · 119 Zit.

Exploring the potential of ChatGPT as a supplementary tool for providing orthopaedic information

Janina Kaarre, Robert Feldt, Laura E. Keeling et al.

2023 · 105 Zit.

Attitudes towards artificial intelligence within dermatology: an international online survey

Sam Polesie, Martin Gillstedt, Harald Kittler et al.

2020 · 87 Zit.

Artificial intelligence, drug repurposing and peer review

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

2020 · 74 Zit.

Evaluating the Efficacy of ChatGPT in Navigating the Spanish Medical Residency Entrance Examination (MIR): Promising Horizons for AI in Clinical Medicine

Francisco Guillén‐Grima, Sara Guillén-Aguinaga, Laura Guillén-Aguinaga et al.

2023 · 71 Zit.

Applications of artificial intelligence for nursing: has a new era arrived?

Liesbet Van Bulck, Raphaël Couturier, Philip Moons

2022 · 60 Zit.

Supervised machine learning and associated algorithms: applications in orthopedic surgery

James A. Pruneski, Ayoosh Pareek, Kyle N. Kunze et al.

2022 · 57 Zit.

Grading exams using large language models: A comparison between human and AI grading of exams in higher education using ChatGPT

Jonas Flodén

2024 · 50 Zit.

Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice

Ranim Khojah, Mazen Mohamad, Philipp Leitner et al.

2024 · 49 Zit.

Trust and stakeholder perspectives on the implementation of AI tools in clinical radiology

Magnus Bergquist, Bertil Rolandsson, Emilia Gryska et al.

2023 · 47 Zit.

A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges

Bálint Zsidai, Ann‐Sophie Hilkert, Janina Kaarre et al.

2023 · 45 Zit.

The development and deployment of machine learning models

James A. Pruneski, Riley J. Williams, Benedict U. Nwachukwu et al.

2022 · 44 Zit.

Machine learning/artificial intelligence in sports medicine: state of the art and future directions

Ayoosh Pareek, Du Hyun Ro, Jón Karlsson et al.

2024 · 35 Zit.

Plan quality assessment in clinical practice: Results of the 2020 ESTRO survey on plan complexity and robustness

Laura Patricia Kaplan, Lorenzo Placidi, Anna Bäck et al.

2022 · 35 Zit.