Philip Moons

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

2023 · 140 Zit. · European Journal of Cardiovascular Nursing

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

2023 · 121 Zit. · European Journal of Cardiovascular Nursing

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

2022 · 63 Zit. · European Journal of Cardiovascular Nursing

Artificial intelligence-generated podcasts open new doors to make science accessible: a mixed-method evaluation of quality and the potential for science communication

2025 · 12 Zit. · European Journal of Cardiovascular Nursing

Response to the letter to the editor – Dr. ChatGPT in cardiovascular nursing: a deeper dive into trustworthiness, value, and potential risk

2023 · 12 Zit. · European Journal of Cardiovascular Nursing

How to get the most out of ChatGPT? Tips and tricks on prompting

2024 · 5 Zit. · European Journal of Cardiovascular Nursing

Google’s AI co-scientist and OpenAI’s deep research: new partners in health research?

2025 · 5 Zit. · European Journal of Cardiovascular Nursing

Equality, diversity, and inclusion in artificial intelligence-driven healthcare chatbots: addressing challenges and shaping strategies

2025 · 5 Zit. · European Journal of Cardiovascular Nursing

When the computer says yes, but the healthcare professional says no: artificial intelligence and possible ethical dilemmas in health services

2024 · 3 Zit. · European Journal of Cardiovascular Nursing

Letters to the editor: questionable publishing practices in the ChatGPT era

2023 · 2 Zit. · European Journal of Cardiovascular Nursing

Predictors of 30-day readmission based on machine learning in patients with heart failure: an essential assessment for precision care

2024 · 0 Zit. · European Journal of Cardiovascular Nursing