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Usefulness of Artificial Intelligence in the detection of skin surface fungal infections

Comparative Trial Of Manual Vs Automated Artificial Intelligence Assisted Detection Of Fungal Elements In Patients With Dermatophytic And Pityriasis Versicolor Infection Using KOH Smear And Direct Blue Is Dye In A Tertiary Care Hospital - NIL

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/02/062590
Enrollment
315
Registered
2024-02-13
Start date
Unknown
Completion date
Unknown
Last updated
2024-06-24

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

Conditions

Health Condition 1: B359- Dermatophytosis, unspecified

Interventions

Intervention1: NIL: NIL Intervention2: Non Interventional: Non Interventional

Sponsors

Bigtec Pvt Ltd, Bangalore
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: To compare the sensitivity of manual (using it as gold standard) vs automated AI assisted method to detect fungal elements in patients with signs and symptoms suggestive of dermatophytic and Pityriasis Versicolor infection using smears stained with KOH stain Compare the sensitivity of manual vs automated AI assisted method in the detection of fungal elements using smear stained with Direct Blue IS dye.

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Proportion of positive detection of fungal elements by the method utilizing Artificial Intelligence compared to that of manual detection of fungal elementsTimepoint: 18 months—

Secondary

MeasureTime frame
Not ApplicableTimepoint: Not Applicable—

Countries

India

Contacts

Public ContactDr Prathibha JP

St. John’s Medical College

prathibha.jp@stjohns.in08022065029

Outcome results

None listed

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