Mia Gisselbaek

ORCID: 0000-0002-2296-8106
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About
Contact & Profiles
Research Areas
  • Diversity and Career in Medicine
  • Cardiac, Anesthesia and Surgical Outcomes
  • Artificial Intelligence in Healthcare and Education
  • Sepsis Diagnosis and Treatment
  • Medical Education and Admissions
  • Healthcare professionals’ stress and burnout
  • S100 Proteins and Annexins
  • Perfectionism, Procrastination, Anxiety Studies
  • Mentoring and Academic Development
  • Immune Response and Inflammation
  • Healthcare Systems and Challenges
  • Ethics in medical practice
  • Sex and Gender in Healthcare
  • Intensive Care Unit Cognitive Disorders
  • Radiology practices and education
  • Foreign Body Medical Cases
  • Patient-Provider Communication in Healthcare
  • Surgical Simulation and Training
  • Delphi Technique in Research
  • Airway Management and Intubation Techniques
  • Hip and Femur Fractures
  • Tracheal and airway disorders
  • Medical History and Innovations

University Hospital of Geneva
2023-2025

University of Geneva
2013-2025

Perioperative neurocognitive disorders (PNDs) are common complications after surgery and anaesthesia, particularly in older adults, leading to increased morbidity, mortality, healthcare costs. Therefore, major medical societies have developed recommendations for the prevention treatment of PNDs. Our study evaluated reliability large language models, specifically ChatGPT-4 Gemini, generating PND management comparing them with published guidelines. We conducted an online cross-sectional...

10.1016/j.bja.2025.01.001 article EN cc-by British Journal of Anaesthesia 2025-02-01

Imposter phenomenon (IP) can impact professional performance and has been described as a risk factor for burnout within healthcare workers. We hypothesize that IP are prevalent among Swiss anaesthesiology residents junior anaesthesiologists, specific factors significantly associated with these conditions. conducted cross-sectional web-based survey of anaesthesiologists working in regions Switzerland. The included demographic questions, the Clance Impostor Phenomenon Scale (CIPS), Maslach...

10.1186/s12871-025-02957-8 article EN cc-by-nc-nd BMC Anesthesiology 2025-02-22

Saxena, Sarah MD, PhD; Gisselbaek, Mia MSc; Berger-Estilita, Joana Rubulotta, Francesca PhD, MBA, FRCA, FICM Author Information

10.1213/ane.0000000000007471 article EN Anesthesia & Analgesia 2025-02-28

Introduction Artificial Intelligence (AI) is increasingly being integrated into anesthesiology to enhance patient safety, improve efficiency, and streamline various aspects of practice. Objective This study aims evaluate whether AI-generated images accurately depict the demographic racial ethnic diversity observed in Anesthesia workforce identify inherent social biases these images. Methods cross-sectional analysis was conducted from January February 2024. Demographic data were collected...

10.3389/frai.2024.1462819 article EN cc-by Frontiers in Artificial Intelligence 2024-10-09

Integrating artificial intelligence (AI) into intensive care practices can enhance patient by providing real-time predictions and aiding clinical decisions. However, biases in AI models undermine diversity, equity, inclusion (DEI) efforts, particularly visual representations of healthcare professionals. This work aims to examine the demographic representation two text-to-image models, Midjourney ChatGPT DALL-E 2, assess their accuracy depicting characteristics intensivists.

10.1186/s13054-024-05134-4 article EN cc-by-nc-nd Critical Care 2024-11-11

Qualitative research (QR) take advantage of a wide range methods and theoretical frameworks to explore people's beliefs, perspectives, experiences, behaviours has been applied many areas healthcare. The aim this review was how QR contributed the field perioperative anesthesiology. We performed systematic scoping published studies pertaining anesthesiology in three databases (CINAHL, Pubmed, Embase), between January 2000 June 2018. extracted data regarding publication researchers'...

10.1007/s12630-021-02106-y article EN cc-by-nc Canadian Journal of Anesthesia/Journal canadien d anesthésie 2021-10-04

<sec> <title>BACKGROUND</title> Generative artificial intelligence (AI) is showing great promise as a tool to optimize decision-making across various fields, including medicine. In anesthesiology, accurately calculating maximum safe doses of local anesthetics (LAs) crucial prevent complications such anesthetic systemic toxicity (LAST). Current methods for determining LA dosage are largely based on empirical guidelines and clinician experience, which can result in significant variability...

10.2196/preprints.66796 preprint EN 2024-09-23

10.1016/j.tacc.2023.101290 article EN cc-by Trends in Anaesthesia and Critical Care 2023-08-26

Sepsis and its complications remain the principal cause of death in intensive care units, is associated with high costs. Protocolized septic shock has however lately been decreased rates, but to date there still no specific treatment for sepsis. Pharmacologic therapies aiming at blocking action bacterial endotoxin or receptor have largely disappointing. Epuration circulating using hemoadsorption on polymyxin columns a new showing encouraging preliminary results. Studies reporting such...

10.53738/revmed.2013.9.410.2330 article EN Revue Médicale Suisse 2013-01-01
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