A stroke happens when the blood supply to a part of the brain is cut off. This can be caused by a blockage in a blood vessel in the brain (an ischaemic stroke) or a bleed from a blood vessel in the brain (a haemorrhagic stroke).
The faster blood flow is restored to the brain, the better chance someone has of making a good recovery.
State of the art
NIHSS ((National Institute of Health Stroke Scale) score is determined on admission and at discharge. Has a predictive value related to functional outcome at 90 days.
Early supported discharge is not common clinical practice and there is a lack of clear criteria to select suitable patients.
Modified Rankin Score (mRS) is a disability scale are mainly based on clinical reported outcomes.
Existance of some acceptable models for short-term risk prediction but not widely used due to the amount of inputs required.
Unmet needs
Lack of high-quality, harmonised and transparent datasets.
Lack of trust in predictive tools: Current predictive models are not validated or clinically implemeted due to lack of robustness.
Lack of effective human-centred solutions.
The solution
Federated artificial intelligence model network trained by european hospitals to be used in the platform.
Stroke management platform deployed in the stroke units from hospitals in Spain, Italy, Belgium and Slovenia and validated over 2100 outpatients and their caregivers.
Evidence-based recommentadations for the use of trustworthy risk predictors to gain adherence to treatment.
Robust AI-based scoring system for five crucial end points in the management of stroke, with associated
The impact
Improvements in prevention and case management
Reduce by 10-20% the risk of stroke recurrence, mortality and hospital readmissions
Novel quantitative metrics in clinical practise, after regulatory approval
Revised international clinical guidelines
Treatment adherence increasement up to 80%
In 2030, over 1 milion acute ischemic stroke patients and 9 milions stroke survivors could benefit from the Trustroke tool.
An ischemic stroke happens when the blood supply to a part of the brain is cut off. This is caused by the blockage of blood flow in a vessel that supplies brain.
The faster blood flow is restored to the brain, the better chance someone has of making a good recovery.
NIHSS ((National Institute of Health Stroke Scale) score is determined on admission and at discharge. It has a predictive value related to functional outcome at 90 days.
Early supported discharge is not common clinical practice and there is a lack of clear criteria to select suitable patients.
Modified Rankin Score (mRS) is a disability scale mainly based on clinical reported outcomes.
Existance of some acceptable models for short-term risk prediction but not widely used due to the amount of inputs required.
Federated artificial intelligence model network trained by European hospitals to be used in the platform.
Stroke management platform implemented in the stroke units from hospitals in Spain, Italy, Belgium and Slovenia and validated over 2100 outpatients and their caregivers.
Evidence-based recommentadations for the use of trustworthy risk predictors to gain adherence to treatment.
Robust AI-based scoring system for five crucial end points in the management of stroke, with associated