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To compare the outcome performance of Digital Chest Radiograph and radiologist diagnosis based on chest x ray

An open label, retrospective, observational, non-inferior study to Investigate the Potential of Deep Learning in Assessing the chest diseases Depicted on Digital Chest Radiographs and to Compare Its Performance with Certified Radiologists

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/09/046002
Enrollment
200
Registered
2022-09-28
Start date
Unknown
Completion date
Unknown
Last updated
2022-10-17

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

Conditions

Health Condition 1: J989- Respiratory disorder, unspecified

Interventions

None listed

Sponsors

MANENTIA ADVISORY PRIVATE LIMITED
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. The dataset consists of many X-rays images. 2. Subject dataset specific for the class label. 3. X-ray dataset with any of the below pathological conditions. Pneumothorax, Pleural effusion, Pleural thickening, Pneumonia (Lobar and Segmental), Malignancy, Mediastinal pathology, Reticular pattern, Nodular pattern, Fibrocalcific lesion, Emphysema, COPD, Bronchiectasis, Cavity, Pulmonary Oedema, Collapse, Foreign Body, Bone pathologies, Normal condition

Exclusion criteria

Exclusion criteria: 1. Dataset that does not consist of x-ray images 2. Incomplete or unreliable data, such as the age, gender, and status at the time of the X-ray recording. 3. Dataset and X-ray which do not comply with inclusion criteria

Design outcomes

Primary

MeasureTime frame
False Positive Decisions of Radiologists. Timepoint: Baseline & Post Baseline 20 days

Secondary

MeasureTime frame
1. Sensitivity and Specificity 2. RadLex Scale for Diagnostic Capability RatingTimepoint: Baseline and Post baseline 20 days

Countries

India

Contacts

Public ContactAnuj Chandalia

Sterling Hospital

pranav.devani@gmail.com

Outcome results

None listed

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