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A Study on How Artificial Intelligence Can Help Doctors Identify Voice Box Diseases Earlier.

Strategic Implementation of Artificial Intelligence in Diagnosing Laryngeal Diseases - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2026/03/105664
Enrollment
150
Registered
2026-03-09
Start date
Unknown
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Health Condition 1: D498- Neoplasm of unspecified behavior of other specified sites

Interventions

Intervention1: Diagnostic intervention: Artificial intelligence tool which will analyse voice samples of patients. Duration 22 months Control Intervention1: Comparing benign and malignant laryngeal di

Sponsors

Neha Chaudhary
Lead Sponsor
Abhishek Kesarwani
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: Voice change due to laryngeal diseases

Exclusion criteria

Exclusion criteria: Voice change due to rhinological cause Cleft lip and palate Clinical and radiological lungi abnormalities Psychogenic abnormalities Voice change due to central nervous system causes

Design outcomes

Primary

MeasureTime frame
Asses the accuracy of Artificial intelligence tool in differentiating benign from malignant laryngeal diseaseTimepoint: Asses the accuracy of Artificial intelligence tool in differentiating benign from malignant laryngeal disease—

Secondary

MeasureTime frame
NaTimepoint: Na—

Countries

India

Contacts

Public ContactNeha Chaudhary

GSVM MEDICAL COLLEGE KANPUR

cneha620@gmail.com8077785858

Outcome results

None listed

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