Intensive care · Artificial intelligence
AI in ICU
AI applications in Intensive Care
OngoingClinical research · Gothenburg
Research for better decisions in critical care.
GAICG brings clinicians and researchers together to study anaesthesia, intensive care, outcomes and data-driven healthcare.
Research focus
Clinical questions
Studies grounded in real-world care and meaningful patient outcomes.
Methods
Data + collaboration
Registry studies, clinical research and responsible use of advanced analytics.
Current work
Research projects
Intensive care · Toxicology
Poisonings in Sweden
Epidemiology of poisonings in Swedish Intensive Care
OngoingIntensive care · Outcomes
Treatment limitations
Treatment limitations in Intensive Care and in Perioperative Setting
OngoingPerioperative medicine · Trauma
Ortho-anaesthesia
Challenges and Advances in Orthopaedic Anaesthesia
OngoingAbout GAICG
Clinical insight, rigorous research, shared expertise.
GAICG is a multidisciplinary research group focused on applying modern statistical learning methods to questions in anaesthesia and intensive care.
Based within a clinical environment, our work is closely connected to real-world perioperative and intensive care practice.
Meet the research groupSelected output
Recent publications
2026
Guideline‐augmented prompting improves comparative preference and response consistency of large language model outputs for orthopaedic anaesthesia questions: A controlled prompting study
Anita Széll, Yinan Yu, Jacob F. Oeding, Felix C. Oettl, Adam Piasecki, Keti Dalla, Tobias Siöland, Mathias Hård af Segerstad, Fredrik Olsen, Peter Larsson, Stefano Zaffagnini, Kristian Samuelsson, Fredrik Hessulf
2026
Analgesic patterns and predictors of opioid consumption following epidural analgesia discontinuation after pancreatic cancer surgery
Samuel Fredriksson, Christina Biörserud, Johanna Wennerblom, Jessica Komi, Natalie Svensson, Paulin Andréll, Adam Piasecki
2026
Early prognostication for ICU patients with combined respiratory and circulatory failure: an interpretable machine learning approach
Adam Piasecki, Kamil Adamczyk, Marcin Śniegowski, Raffaele Mandarano, Beatrice Brunoni, Harm-Jan de Grooth, Paul W G Elbers
Collaboration
Research moves further when expertise is shared.
Please write to us for academic, clinical or methodological collaboration.
Contact GAICG