Designing an artificial intelligence algorithm to examine the scar of leishmania

Design and evaluation of an artificial intelligence algorithm created to predict the extent of scarring left at the location of the Leishmania lesion once the treatment phase is completed

Status

Active, not recruiting

Phases

Phase 2

Study type

Interventional

Source

IRCT

Registry ID

IRCT20230307057646N2

Enrollment

200

Registered

2024-09-12

Start date

2024-10-22

Completion date

Unknown

Last updated

2024-09-16

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

Conditions

Leishmaniasis. Leishmaniasis

Interventions

Intervention 1: Intervention group: the treatment is intra-lesional and the patient is injected intradermally to the extent that the lesion turns white and bulges. The treatment is repeated weekly for

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Suffering from leishmaniasis Consent to enter the study No history of previous scar in the current lesion site No other medication for skin diseases in the last month.

Exclusion criteria

Exclusion criteria: The lack of consent of the participants to continue participating in the project The lack of response to treatment after three weeks of receiving the drug glucantim with the appropriate dose locally and intralesionally and the need to change the treatment method

Design outcomes

Primary

Measure	Time frame
Average scar improvement score of patients. Timepoint: 12 months after the start of the treatment. Method of measurement: Grading of scar improvement rate by dermatologists.	—

Countries

Iran (Islamic Republic of)

Contacts

Public ContactAzadeh Zolfaghari

Esfahan University of Medical Sciences

drazadehzolfaghari@gmail.com+98 31 3339 0100

Outcome results

None listed

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