CTRI/2024/01/061013Not yet recruitingUnknown
tilizing Artificial Intelligence For Prediction Of Functional Recovery Post Stroke - NI
KAHER Institute of Physiotherapy0 sites0 target enrollmentStarted: TBDLast updated:
Trial Snapshot
- Phase
- Unknown
- Status
- Not yet recruiting
- Sponsor
Study Overview
Brief Summary
No summary available.
Study Design
- Study Type
- Observational
Eligibility 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
- •Participants with unstable neurological condition, orthopaedic condition, cardiac condition or mental condition
Investigators
Similar Trials
Not yet recruiting
Not Applicable
Artificial intelligence for prediction of spontaneous loss of stones in patients with symptomatic ureter stonesN20N13Calculus of kidney and ureterObstructive and reflux uropathyDRKS00023527Klinikum Nuernberg250
Completed
Not Applicable
Validating Artificial Intelligence Predictions of Postoperative Delirium after Cardiac SurgeryPostoperative DeliriumF05.0Delirium not superimposed on dementia, so describedDRKS00028749Institut für Anästhesiologie und SchmerztherapieHerz- und Diabeteszentrum NRW393
Not yet recruiting
Unknown
se of AI in Cardiovascular Risk Prediction.CTRI/2023/07/054781A
Not yet recruiting
Unknown
Artificial Intelligence Approach to Early Detection of Breast and Cervical Cancers in Indian Patients.CTRI/2024/04/065171AIIMS New Delhi
Not yet recruiting
Unknown
A study to use Artificial Intelligence to predict the outcomes of advanced stage Hodgkin LymphomaCTRI/2024/02/062294KOITA CENTRE FOR DIGITAL HEALTH(KCDH)