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The role of Artificial Intelligence in Cancer Management

Evaluating the concordance between AI-based Large Language Model recommendations and Virtual Molecular Tumor Board expert consensus for solid tumor cases in India

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/12/098846
Enrollment
100
Registered
2025-12-10
Start date
Unknown
Completion date
Unknown
Last updated
2026-01-12

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

Conditions

Health Condition 1: O- Medical and Surgical

Interventions

Intervention1: Nil: Nil Control Intervention1: Nil: Nil

Sponsors

Nil
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Age 18.00 to 80.00 years. The subject should have solid tumors.

Exclusion criteria

Exclusion criteria:

Design outcomes

Primary

MeasureTime frame
Concordance rate between AI and expert vMTB recommendationsTimepoint: Within 8 weeks after presenting the case in the Virtual Molecular Tumour Board—

Secondary

MeasureTime frame
NilTimepoint: Nil—

Countries

India

Contacts

Public ContactDr S Arun Seshachalam

Dr GVN Cancer Institute GVN Riverside Hospital Tiruchirappalli Tamil Nadu

dr.arunseshachalamtalks@gmail.com9786220191

Outcome results

None listed

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