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Mammography AI for Identifying Abnormalities

Multi-centre Evaluation of Artificial Intelligence for Triage of Mammograms in Indian population - MAIA (Mammographic Abnormality Identification with AI)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/07/091016
Enrollment
500
Registered
2025-07-16
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Health Condition 1: C50- Malignant neoplasm of breast

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

Ministry Of Education
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients who undergo routine mammography for screening or for evaluation of breast related complains

Exclusion criteria

Exclusion criteria: Mammograms performed for the purpose of interventions

Design outcomes

Primary

MeasureTime frame
Were any cancers missed by AI+ Technologist which were captured by radiologist in routine workflowTimepoint: 4 weeks—

Secondary

MeasureTime frame
Proportion of workload reduction that can be achieved by this protocolTimepoint: 1 year—

Countries

India

Contacts

Public ContactKrithika Rangarajan

All India Institute of Medical Sciences New Delhi

krithikarangarajan@aiims.edu01129575064

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026