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Role of Artificial Intelligence in laparoscopic cholecystectomy surgery

Development of an artificial neural network/ convoluted neural network and deep learning based predictive model of difficulty grades of laparoscopic cholecystectomy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/11/077457
Enrollment
100
Registered
2024-11-28
Start date
Unknown
Completion date
Unknown
Last updated
2024-12-09

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

Conditions

Health Condition 1: K802- Calculus of gallbladder without cholecystitis

Interventions

Intervention1: AI predictor model: Difficulty grade of laparoscopic Cholecystectomy is assessed based on clinico-demographic-radiologic data, which the AI MODEL will interpret and assign an surgical o

Sponsors

Armed Forces Medical College
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: All patients undergoing laparoscopic cholecystectomy at AFMC Pune

Exclusion criteria

Exclusion criteria:

Design outcomes

Primary

MeasureTime frame
Prediction of Difficulty Grades of surgery for laparoscopic cholecystectomyTimepoint: at the end of the study—

Secondary

MeasureTime frame
Variation of difficulty grades with age, gender, prior abdominal surgery history, gall bladder characteristics like wall thickness, pericholecystic fluidsTimepoint: At the end of each case—

Countries

India

Contacts

Public ContactDr Anumoy Ghosh

Armed Forces Medical College, Pune, India

ameetsurg@gmail.com6002092231

Outcome results

None listed

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