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use of artifitial intelligence to identify patient of anemia by using photo of hands, nails, eyes and toungue without taking blood sample

Predicting anemic status from clinical site Images Using artificial intelligence - NIL

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/04/065784
Enrollment
300
Registered
2024-04-16
Start date
Unknown
Completion date
Unknown
Last updated
2024-06-24

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

Conditions

Health Condition 1: D509- Iron deficiency anemia, unspecified

Interventions

Intervention1: NIL: NIL

Sponsors

ALL INDIA INSTITUTE OF MEDICAL SCIENCES RAJKOT
Lead Sponsor
ALL INDIA INSTITUTE OF MEDICAL SCIENCES RAJKOT
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: patient visiting medicine OPD,AIIMS RAJKOT who is advised Hb investigation for anemia

Exclusion criteria

Exclusion criteria: Patients who are unwilling to provide written consent, Patients with known hypoxia, patient suffering from diseases affecting the color of the clinical site except for blood loss

Design outcomes

Primary

MeasureTime frame
Anemia prediction with clincal site imageTimepoint: Baseline—

Secondary

MeasureTime frame
best fit AI Model for predicting anemia from clinical site imageTimepoint: Baseline—

Countries

India

Contacts

Public ContactPradip Barde

All India Institute of Medical Sciences (AIIMS), RAJKOT, GUJARAT

bardepb@gmail.com9021416946

Outcome results

None listed

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