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Using AI to Diagnose Carpal Tunnel Syndrome Without Painful Nerve Tests

A Diagnostic Accuracy Study Exploring Artificial Intelligence as a Diagnostic Substitute for Nerve Conduction Study in Carpal Tunnel Syndrome - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/06/112075
Enrollment
68
Registered
2026-06-05
Start date
Unknown
Completion date
Unknown
Last updated
2026-06-22

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

Conditions

Health Condition 1: G560- Carpal tunnel syndrome

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

R G Kar Medical College Kolkata
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Clinically diagnosed cases of carpal tunnel syndrome.

Exclusion criteria

Exclusion criteria: Cases with previous carpal tunnel syndrome Cases with history of previous corticosteroid therapy Pregnancy Cases with psychiatric history Cases with peripheral polyneuropathy like in diabetes Cases with history of traumatic nerve injury Focal nerve entrapment other than CTS Rheumatoid arthritis Hypothyroidism Cases refusing to carry forward with the study Cases with any substance abuse addiction history

Design outcomes

Primary

MeasureTime frame
AI is a probable potential diagnostic substitute for NCS.Timepoint: Baseline—

Secondary

MeasureTime frame
NilTimepoint: Nil—

Countries

India

Contacts

Public ContactDr Ayan Baur

R. G. Kar Medical College And Hospital

rehabyouall@gmail.com9433915696

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Jun 29, 2026