Health Condition 1: R50-R69- General symptoms and signs
Conditions
Interventions
Intervention1: Nil: Nil
Control Intervention1: Nil: Nil
Sponsors
Dr.Seetha Rashi
Eligibility
Inclusion criteria
Inclusion criteria: 1.Patients referred for CT scans of any anatomical region (e.g., thorax, abdomen, brain) for diagnostic evaluation. 2.Patients who provide written informed consent to participate in the study. 3.Individuals whose medical condition requires CT imaging for diagnosis, treatment planning, or follow-up. 4.Patients whose CT scans need to be evaluated for potential artifacts affecting diagnostic quality. 5.Patients who are clinically stable and can participate without immediate life-threatening conditions.
Exclusion criteria
Exclusion criteria: 1.Patients unable or unwilling to provide informed written consent. 2.Patients with critical or life-threatening conditions that require immediate intervention, making participation in the trial unfeasible. 3.Pregnant individuals to avoid potential risks or confounding factors. 4.Scans that are too degraded or incomplete for the app to process effectively. 5.Patients whose CT scans have already been flagged and addressed for artifacts prior to the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To assess the accuracy, sensitivity, and specificity of the AI-powered Image Enhancement Assistant in detecting and identifying artifacts in CT scans to improve diagnostic qualityTimepoint: At baseline, 4 weeks, and 8 weeks post-intervention. | — |
Secondary
| Measure | Time frame |
|---|---|
| To evaluate the impact of the AI-powered Image Enhancement Assistant on clinical workflow efficiency and decision-making by reducing the time taken for image quality assessment and the number of repeat scans required.Timepoint: within 24 hours | — |
Countries
India
Contacts
Public ContactSeetha Rashi
Saveetha medical college and hospital, Saveetha institute of medical and technical sciences
Outcome results
None listed