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Study on how to use Utilizing Artificial Intelligence for diagnostics in Prameha

Utilizing Artificial Intelligence for diagnostics in Prameha- An Observational study - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/05/086811
Enrollment
200
Registered
2025-05-13
Start date
Unknown
Completion date
Unknown
Last updated
2025-05-26

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

Conditions

Health Condition 1: E119- Type 2 diabetes mellitus without complications

Interventions

Intervention1: Nil: Nil

Sponsors

PT KHUSHILAL SHARMA GOVT AUTO AYURVEDA COLLEGE AND INSTITUTE BHOPAL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Newly diagnosed case of Diabetes Mellitus Type 2 or Diagnosed cases of Diabetes Mellitus Type 2 which are not taking any kind of medicine. 2. Participants fulfilling the diagnostic criteria. 3. Participants age between 31 60 years of either sex. 4. Participants willing for participation in research activity with written informed consent.

Exclusion criteria

Exclusion criteria: 1. Pregnant and lactating women. 2. Patients who had given history of systemic complicated disease like Tuberculosis, HIV, any malignancy. 3. Patients not willing for participation in research activity with written informed consent.

Design outcomes

Primary

MeasureTime frame
At the end of the study, its sub-types of prameha can be categorized and diagnosed in a more accurate way with the help of AI tool and which will be further helpful in treatment approach.Timepoint: 18 Months

Secondary

MeasureTime frame
NILTimepoint: NIL

Countries

India

Contacts

Public ContactDR Jyoti Rajput

Pt. Khushilal Sharma Govt. Auto. Ayurveda College and Institute

vd.ritu@gmail.com8435990799

Outcome results

None listed

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