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Using Artificial Intelligence To Predict How Well Will Be The Functional Recovery After Stroke

Utilizing Artificial Intelligence For Prediction Of Functional Recovery Post Stroke - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/01/061013
Enrollment
96
Registered
2024-01-01
Start date
Unknown
Completion date
Unknown
Last updated
2024-01-22

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

Conditions

None listed

Interventions

Intervention1: Nil: Nil Control Intervention1: Nil: Nil

Sponsors

KAHER Institute of Physiotherapy
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Subjects willing to participate in the study Male and female participants above the age of 18 years diagnosed with stroke Participant able to follow the commands

Exclusion criteria

Exclusion criteria: Participants with unstable neurological condition, orthopaedic condition, cardiac condition or mental condition

Design outcomes

Primary

MeasureTime frame
the functional recovery will be assessed using the Barthel indexTimepoint: the Barthel index will be assessed in the initial visit i.e. at the baseline (t0)—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactMansi Deole

KAHER Institute Of Physiotherapy

raghavendrasingh@klekipt.edu.in9886288225

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026