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临床试验/CTRI/2026/03/105664
CTRI/2026/03/105664尚未招募不适用

Strategic Implementation of Artificial Intelligence in Diagnosing Laryngeal Diseases

Neha Chaudhary1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2026年4月13日最近更新:

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
150
试验地点
1
主要终点
Asses the accuracy of Artificial intelligence tool in differentiating benign from malignant laryngeal disease

研究概览

简要总结

Study Objectives

Primary Objective

To evaluate the role of Artificial Intelligence in assisting the diagnosis of laryngeal diseases using laryngeal imaging.

Secondary Objectives

  1. To compare the diagnostic accuracy of Artificial Intelligence with clinical assessment by ENT specialists.

  2. To assess the ability of Artificial Intelligence to differentiate between normal, benign, and malignant laryngeal lesions.

  3. To determine whether Artificial Intelligence can support early detection of laryngeal diseases.

  4. Inclusion Criteria

  5. Patients presenting with symptoms suggestive of laryngeal disease such as hoarseness of voice, throat discomfort, or voice change.

  6. Patients undergoing laryngeal examination using laryngoscopy or videostroboscopy in the ENT department.

  7. Patients aged 18 years and above.

  8. Patients who are willing to participate and provide informed consent.

  9. Exclusion Criteria

  10. Patients who do not provide consent to participate in the study.

  11. Patients with incomplete clinical or imaging data.

  12. Patients with previous laryngeal surgery that significantly alters normal anatomy.

  13. Poor quality laryngeal images that cannot be analyzed by the Artificial Intelligence system.

  14. Primary Outcome Measure

Accuracy of Artificial Intelligence in diagnosing laryngeal diseases based on analysis of laryngeal imaging.

  1. Secondary Outcome Measures

  2. Sensitivity and specificity of Artificial Intelligence in detecting laryngeal lesions.

  3. Ability of Artificial Intelligence to classify lesions as normal, benign, or malignant.

  4. Agreement between Artificial Intelligence diagnosis and clinical diagnosis by ENT specialists.

研究设计

研究类型
Interventional
分配方式
Other
盲法
None

入排标准

年龄范围
18.00 Year(s) 至 65.00 Year(s)(—)
性别
All

入选标准

  • Voice change due to laryngeal diseases.

排除标准

  • 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.

结局指标

主要结局

Asses the accuracy of Artificial intelligence tool in differentiating benign from malignant laryngeal disease

时间窗: Asses the accuracy of Artificial intelligence tool in differentiating benign from malignant laryngeal disease

次要结局

  • Na(Na)

研究者

发起方
Neha Chaudhary
申办方类型
Other [self]
责任方
Principal Investigator
主要研究者

Neha Chaudhary

GSVM MEDICAL COLLEGE KANPUR

研究点 (1)

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