Research on the accuracy verification of artificial intelligence assisted system in clinical application of ophthalmic ultrasound

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2000036326

Enrollment

Unknown

Registered

2020-08-22

Start date

2020-08-21

Completion date

Unknown

Last updated

2020-09-07

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

Conditions

Eye diseases

Interventions

Gold Standard:Ophthalmologist's diagnosis

Index test:Artificial&#32

intelligence-assisted&#32

ophthalmic&#32

ultrasound&#32

system

Eligibility

Sex/Gender

All

Age

18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Pictures of ophthalmic ultrasound diagnosis and treatmen, including type A ultrasound, Type B ultrasound, color Doppler ultrasound, ultrasonic biological microscope, ultrasound contrast ultrasound and others.

Exclusion criteria

Exclusion criteria: Pictures who had poor quality

Design outcomes

Primary

Measure	Time frame
the accuracy of assessing lesions;	—

Secondary

Measure	Time frame
the sensitivity of assessing lesions;the specificity of assessing lesions;	—

Countries

China

Contacts

Public ContactYang Yangning

Ophthalmology Center of Renmin Hospital of Wuhan University

ophyyn@163.com+86 13720331009

Outcome results

None listed

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