ASSIST project demonstrates AI's ability to diagnose intracranial haemorrhages

The ITEA project ASSIST integrates AI for precise diagnosis, personalised treatment, intuitive 3D visuals, and robotic assistance with the aim of simplifying procedures, improving health outcomes, lowering costs and enhancing both patient care and staff experiences. The 'Intracranial haemorrhage' use-case, one of five in the ASSIST project, was developed by İnnova from Türkiye and utilises advanced AI systems to improve the identification of intracranial haemorrhages.

Intracranial haemorrhage (ICH) is a potentially lifethreatening condition that requires urgent detection, as the critical treatment window is very short from the onset of symptoms. Differentiating ICH from ischemic stroke is essential to minimising neurological deficits and mortality, yet many healthcare facilities lack subspecialty-trained neuroradiologists, especially during nights, weekends, and vacation times. This places non-expert healthcare providers in the challenging position of making critical diagnostic decisions. With a stroke occurring every four minutes and ICH being a leading cause of death worldwide, timely and accurate diagnosis is crucial for effective disease management and improved patient outcomes.

In this video, the ASSIST project showcases how leading university radiology departments across Türkiye are enhancing patient care through advanced AI integration developed by the project. Professor Ahmet Muhteşem Ağıldere, a radiology professor and neuroradiologist, highlights the crucial role of AI systems in swiftly diagnosing vascular emergencies at Baskent University Ankara Hospital, particularly in identifying intracranial haemorrhages. This video reveals how these innovations not only shorten diagnosis times but also ensure that patients receive timely and accurate treatment, ultimately leading to better outcomes in emergency care.

Watch the ASSIST project video to learn more:

Clinicial Evaluation of the ICH Detection & Classification System

More information:
https://itea4.org/project/assist.html/

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