Machine-learning approach to determine retinal characteristics for complete blood picture (including anemia) and HbA1c

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300078073

Enrollment

Unknown

Registered

2023-11-28

Start date

2023-12-01

Completion date

Unknown

Last updated

2023-12-03

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

Conditions

anaemia and HbA1c

Interventions

Healthy Individual:N/A

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: -Age>18 -Willing to sign the inform consent -Willing to comply with procedures required in the protocol -Completed a CBP and HbA1c blood tests

Exclusion criteria

Exclusion criteria: -Poor retinal images quality that cannot be used in the analysis -Subjects with other eye diseases which are not suitable for retinal imaging, such as severe cataract, glaucoma, atretopsia, corneal plague. -Subjects are distress with flashlight or have experience with photosensitive seizure. -Unwillingness or inability to comply with procedures required in the protocol

Design outcomes

Primary

Measure	Time frame
specific retinal image characteristics for anemia;	—

Secondary

Measure	Time frame
completed blood picture (including anemia) and HbA1c;	—

Countries

China

Contacts

Public ContactProf. ZEE Chung-ying, Benny

The Chinese University of Hong Kong

bzee@cuhk.edu.hk+852 2252 8865

Outcome results

None listed

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