Data Science

This event united leading intensive care experts to explore the future of this field through sessions covering AI, precision medicine, virtual ICU models, and sustainable design, with talks and workshops addressing key challenges like patient interaction, alarm fatigue, and environmental impact.

This 8th Critical Care Datathon is a great event where multidisciplinary teams and international experts collaborate to explore clinical questions using large datasets from electronic health records.
Participants also have the opportunity to enhance their data knowledge, discover new methods to address clinical questions, and build connections!

Webinars

– Too much data? Making ICU monitoring smarter and safer
– Hot topics in data science and translational biology
– Data-driven sepsis subphenotypes: insights and clinical implications
– Data Driven Patient Safety: Moving Forward
– Using the data and AI in ICU
– Getting started in experimental research

Podcasts

– The future of intensive care
Episode 1- April 22^nd. Healthcare crisis: can innovation be the answer?
Episode 2 – May 6^th. Current state of AI in health and healthcare.
Episode 3 – May 20^th. Large language models in the ICU.
Episode 4 – June 10^th. Hybrid AI for trustworthy decision-making, integrating data-driven and knowledge-driven approaches
Episode 5 – June 17^th. Innovation in mechanical ventilation goes beyond the machine.
Episode 6 – June 24^th. Conceptualising future AI in education and patient safety.

Free webinars and podcasts are available for members & non members on LIVES-STREAM.
Use your ESICM credentials or create an account

INDICATE

INDICATE aims to advance patient-centered care and promoting ethically responsible data use and the development and implementation of trustworthy AI models. Michel van Genderen and Christian Jung

ICareWean

iCareWean “Weaning from mechanical ventilation: comparison of open-loop decision support system and routine care, in general medical ICU”.

The BEACON care system is an open-loop decision support device that works alongside current ventilator systems in the intensive care unit.

CoBaTrICE-IT

Competency-based Training in Intensive Care Medicine in Europe – Innovation Transfer. The CoBaTrICE project created an international competency-based programme for ICM.

More information: www.cobatrice.org

What is the influence of Wikipedia and other web resources on acute and critical care decisions? This survey evaluated how important Wikipedia, Google and other web resources have become in the daily work of intensive care professionals.
Publication: Rössler B et al. Influence of wikipedia and other web resources on acute and critical care decisions. a web-based survey

2024
Messina, A., Chew, M. S., Poole, D., Calabrò, L., De Backer, D., Donadello, K., et al. Consistency of data reporting in fluid responsiveness studies in the critically ill setting: the CODEFIRE consensus from the Cardiovascular Dynamic section of the European Society of Intensive Care Medicine. Intensive Care Medicine, 50(4), 548–560. https://doi.org/10.1007/s00134-024-07344-4

2021
Robba, C., Wong, A., Poole, D. et al. Basic ultrasound head-to-toe skills for intensivists in the general and neuro intensive care unit population: consensus and expert recommendations of the European Society of Intensive Care Medicine Intensive Care Med 47, 1347–1367 (2021). https://doi.org/10.1007/s00134-021-06486-z

2020
Vlaar, A.P., Oczkowski, S., de Bruin, S. et al. Transfusion strategies in non-bleeding critically ill adults: a clinical practice guideline from the European Society of Intensive Care Medicine. Intensive Care Med 46, 673–696 (2020). https://doi.org/10.1007/s00134-019-05884-8

Komorowski, M., Cecconi, M. Deploying AI in the ICU: learning from successes and failures. Intensive Care Med 51, 2410–2413 (2025).

Tassaux, D., De Stefano, P., Wozniak, H. et al. Beyond delegation: on the reflective transformation of clinical practice in the age of artificial intelligence. Intensive Care Med 51, 1402–1403 (2025).

Elbers, P., Thoral, P., Bos, L.D.J. et al. The ESICM datathon and the ESICM and ICMx data science strategy. ICMx 12, 29 (2024).

Roldán-Reina, Á.J., Martín-Villén, L., Corcia-Palomo, Y. et al. The dark side of the swan. Intensive Care Med 43, 1726–1727 (2017).

Poole, D., Carrara, G. & Bertolini, G. Intensive care medicine in 2050: statistical tools for development of prognostic models (why clinicians should not be ignored). Intensive Care Med 43, 1403–1406 (2017).

Is high use health information technology having a negative impact on the ICU team and patient care?

The Value of E-Learning for the Prevention of HAIs