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A study to evaluate the effectiveness of computer artificial inteligence in identifying and classifying abnormalites in chest radiographs

"Evaluation of AI performance in detecting lung opacities in chest radiographs and charecterizing them into diffrent subgroups (atelectasis, calcification, cardiomegaly, fibrosis, mediastinal widening, nodule and pleural effusion)."

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/04/041873
Enrollment
1000
Registered
2022-04-13
Start date
Unknown
Completion date
Unknown
Last updated
2022-05-02

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

Conditions

Health Condition 1: C399- Malignant neoplasm of lower respiratory tract, part unspecified Health Condition 2: J989- Respiratory disorder, unspecified Health Condition 3: A159- Respiratory tuberculosis unspecified

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

Tata Memorial Hospital
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Population aged 15+ presented with respiratory symptoms(cough, breathlessness, hemoptysis, chest pain). 2. Population aged 15+ diagnosed with lung cancer. 3. Populations aged 15+ with active tuberculosis symptoms(fatigue, fever, night sweats, cough, and malaise).

Exclusion criteria

Exclusion criteria: 1. Pregnant women due to radiation hazards. 2. Age group less than 15 yrs.

Design outcomes

Primary

MeasureTime frame
To evaluate the accuracy of AI alone for detecting lung opacities in the chest radiographTimepoint: 6 months post enrollment—

Secondary

MeasureTime frame
To compare the accuracy of radiologist alone to AI and radiologist in detecting abnormal findings in CXRTimepoint: 6 months post enrollment;To compare the interpretation of radiologist alone to AI and radiologist in detecting abnormal findings in CXRTimepoint: 6 months post enrollment—

Countries

India

Contacts

Public ContactDr Suyash Kulkarni

Tata Memorial Hospital

suyashkulkarni@yahoo.com9869488867

Outcome results

None listed

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