AI in intensive care

Through a combination of presentations and interactive sessions, participants will gain an understanding of the various applications of AI in triaging and in critical care, including predictive analytics, image analysis, and natural language processing. The goal of this seminar is to meet and discuss the current developments in the area of using machine learning in intensive care or similar situations/conditions. The seminar aims to bring together medical specialists, technology researchers and companies developing equipment used in the intensive care units.

In recent years, Artificial Intelligence (AI) has become increasingly prevalent in healthcare, particularly in the field of intensive care. AI technology has the potential to revolutionize the way we approach patient care in critical care settings, by providing clinicians with powerful tools to assist with diagnosis, treatment, and decision-making. Intensive Care is one of the areas where patients are monitored intensively with several different monitors. This provides opportunities to increase automated monitoring of patients to identify areas where aritificial intelligence can support specialists (medical doctors and nurses) open up for possibilities to make non-invasive diagnoses, observe subtle changes in patients’ conditions or just get more secure monitoring conditions. Steps of the patient care flow that precedes intensive care are also of interest, i.e. the use of non-invasive sensors and monitors also in the ambulance and for triaging patients to the right intensive care (unit).

Agenda

9.00 - 9.15: Introduction

9.15 - 10.30: Presentations and discussions:

CIDAI - Cerebral Ichemia Detection Using AI - Helena Odenstedt Hergés, Linda Block, Miroslaw Staron
StrokeSAX - cerebral ischemia similarity detection using symbolic similarity measures
Non-invasive Stroke Detection in the Ambulance and for ICU Triaging, Medfield Diagnostics

10.30 - 10.45: Coffee break

10.45 - 11.30: Presentations and discussions, cont:

Non-invasive Monitoring for Infectious Diseases based on Analysing Thermal Images: Initial Results - Robert Feldt, Lars-Magnus Andersson
Moberg Analytics - Ethan Moyer

11.30 - 12.00: Closing

Last sign up date: 7 June