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Integration of Cloud Based Artificial Intelligence Assisted Medical Image and Clinical Data Analysis into Stroke Patient Workflows

Integration of Cloud Based Artificial Intelligence Assisted Medical Image and Clinical Data Analysis into Stroke Patient Workflows

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ANZCTR
Registry ID
ACTRN12624000135516
Acronym
Cloud AI
Enrollment
5000
Registered
2024-02-14
Start date
2024-03-04
Completion date
2029-03-05
Last updated
2024-02-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

The aim is to use Artificial Intelligence based tools for automated measurement of lesions/areas of ischemia in stroke patients. This data will be used for patient outcome prediction.

Interventions

Develop Artificial Intelligence (AI) Based tools for automatic brain imaging lesion segmentation and measurement. The AI software is integrated into the current medical imaging software used in NSW Health. All radiological images from adult stroke patients will be labelled by the AI software prior to the report formulation to estimate lesion sizes in the acute stroke phase. The images are collected at hospital presentation, 24 hours after admission and on an as-needed basis. Both hemorrhagic

Develop Artificial Intelligence (AI) Based tools for automatic brain imaging lesion segmentation and measurement. The AI software is integrated into the current medical imaging software used in NSW Health. All radiological images from adult stroke patients will be labelled by the AI software prior to the report formulation to estimate lesion sizes in the acute stroke phase. The images are collected at hospital presentation, 24 hours after admission and on an as-needed basis. Both hemorrhagic and ischemic strokes will be included. All images are collected as part of standard of care at the discretion of the treating medical team. This is an observational study and therefore nothing is required of participants, including follow-up. No blood tests, additional radiological imaging or clinical interventions are required as part of this observational study. The AI software is trained by a neurologist and will be integrated into the radiological imaging report formulated by a radiologist.

Sponsors

Professor Ken Butcher
Lead SponsorIndividual

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Patients assessed for possible acute stroke

Exclusion criteria

Patients without acute stroke imaging data

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026