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Exploring the Use of Artificial Intelligence in Skin Stitching

Utility of artificial intelligence in assessing the quality of suturing - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/07/113460
Enrollment
40
Registered
2026-07-06
Start date
Unknown
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Health Condition 1: L768- Other intraoperative and postprocedural complications of skin and subcutaneous tissue

Interventions

Intervention1: Nil: Nil

Sponsors

Jawaharlal Nehru Medical College
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients who are undergoing elective surgical procedures with simple interrupted suturing.

Exclusion criteria

Exclusion criteria: 1. Patient who are undergoing mucosal suturing. 2. Patient who are undergoing any other form of suturing other than simple interrupted. 3. Patient who are undergoing emergency surgery. 4. Patients who become hemodynamically unstable or critical during the procedure will be excluded. 5. Patient who refuses to give informed consent for this study.

Design outcomes

Primary

MeasureTime frame
To develop an artificial intelligence model for assessing the quality of skin suturingTimepoint: 6 months—

Secondary

MeasureTime frame
nilTimepoint: nil—

Countries

India

Contacts

Public ContactBhavana R Doshi

KLE Academy of Higher Education and Research Jawaharlal Nehru Medical College

bhavs1982@gmail.com9422306523

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Aug 10, 2026