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Evaluation of an AI Based Tool for Early Diagnosis and Prediction of Diseases

Clinical Validation Of Cure Catalyst -AI Diagnostic And Predictive Tool - nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/10/096546
Enrollment
1000
Registered
2025-10-28
Start date
Unknown
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Health Condition 1: L00-L99- Diseases of the skin and subcutaneous tissue

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Control Intervention1: CURE CATALYST AI DIAGNOSTIC AND PREDICTIVE TOOL: An artificial intelligence -based diagnostic and predictive software that analyz

Sponsors

Superceuticals Private Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients presenting the visible dermatological conditions e.g rashes lesions pigmentation disorders inflammatory and non inflammatory diseases

Exclusion criteria

Exclusion criteria:

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy Sensitivity Specificity Predictive value of cure catalyst AI compared to dermatological assessmentTimepoint: At baseline—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactDr Rupinder Kaur

KLES Dr.Prabhakar Kore Hospital

bhavs1982@gmail.com9422306523

Outcome results

None listed

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