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EVALUATING THE CT PATTERNS ASSOCIATED WITH COVID-19 FROM CHEST CT BY USING ARTIFICIAL INTELLIGENCE

EVALUATION OF AUTOMATED QUANTIFICATION OF CT PATTERNS ASSOCIATED WITH COVID-19 FROM CHEST CT

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/01/030364
Enrollment
500
Registered
2021-01-11
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

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

Conditions

Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhere

Interventions

None listed

Sponsors

KALINGA INSTITUTE OF MEDICAL SCIENCES
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. RT-PCR positive HRCT chest scans having positive imaging findings. 2. Scans analyzed by AI algorithm.

Exclusion criteria

Exclusion criteria: 1. HRCT chest scans without any positive imaging findings 2. Scans of suboptimal quality. 3. Scans not analyzed by AI algorithm.

Design outcomes

Primary

MeasureTime frame
To find out the accuracy of the Automated quantification of HRCT patterns that are associated with COVID-19 as compared with the manual analysis of the same.Timepoint: 6 WEEKS—

Secondary

MeasureTime frame
To analyse the extent of use of AI in diagnosing COVID-19Timepoint: 6 WEEKS—

Countries

India

Contacts

Public ContactYALAMANCHI RAJESH

KALINGA INSTITUTE OF MEDICAL SCIENCES

kamal.sen@kims.ac.in9491757599

Outcome results

None listed

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