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Evaluating the utilisation, implementation and economic impact of integrating Artificial Intelligence (AI) in Radiation Oncology Workflow

Integrating Artificial Intelligence (AI) in Radiation Oncology Workflow: Evaluating its utilisation, implementation and economic impact. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/06/089522
Enrollment
370
Registered
2025-06-25
Start date
Unknown
Completion date
Unknown
Last updated
2025-07-21

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

Conditions

None listed

Interventions

Intervention1: Nil: Nil

Sponsors

DHR-ICMR
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: RO (RO) professionals- Oncologists, resident RO trainees, Medical physicists and technologists irrespective of AI implementation 2) The RO professionals working in both government and private settings. 3) Willing to participate in the survey.

Exclusion criteria

Exclusion criteria: RO professionals who are willing to implement AI solutions in future without current implementation. RO oncologists from the RO centre with general AI solutions related to electronic health records, outpatient scheduling, decision making or follow up visits.

Design outcomes

Primary

MeasureTime frame
Proportion of oncologists implementing AI based solution in RO workflow.Timepoint: Baseline and 3 years—

Secondary

MeasureTime frame
Experience of oncologists implementing AI in radiation oncology workflowTimepoint: 2 years—

Countries

India

Contacts

Public ContactDr Shirley Lewis Salins

Kasturba Medical College, Manipal

shirley.salins@manipal.edu9969557231

Outcome results

None listed

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