Mia Gisselbaek

Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models

2024 · 24 Zit. · Critical Care

Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology

2024 · 17 Zit. · Frontiers in Artificial Intelligence

Gender bias in images of anaesthesiologists generated by artificial intelligence

2024 · 14 Zit. · British Journal of Anaesthesia

Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration

2025 · 9 Zit. · BMC Anesthesiology

AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity

2025 · 5 Zit. · Advances in Simulation

Gender Disparities in Artificial Intelligence–Generated Images of Hospital Leadership in the United States

2025 · 4 Zit. · Mayo Clinic Proceedings Digital Health

Performance of 3 Conversational Generative Artificial Intelligence Models for Computing Maximum Safe Doses of Local Anesthetics: Comparative Analysis

2025 · 0 Zit. · JMIR AI

Generation Z versus generative artificial intelligence: a cross-sectional study assessing medical students’ confidence and over-reliance on artificial intelligence in perioperative clinical scenarios

2025 · 0 Zit. · European Journal of Anaesthesiology

Performance of three conversational generative AI models for computing maximum safe doses of local anesthetics: a comparative analysis. (Preprint)

2024 · 0 Zit.

LP020 Unveiling gender bias in medical AI: underrepresentation of women in regional anesthesia depictions

2024 · 0 Zit.

Gender Disparities in AI-generated Images of Hospital Leadership in the United States

2025 · 0 Zit. · Open Access CRIS of the University of Bern