Artificial Intelligence for Pathogen Identification in Infectious Keratitis

Corneal Harm Eradication with Neural Networks for Artificial Intelligence

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20240926002

Enrollment

280

Registered

2024-09-26

Start date

2024-11-06

Completion date

Unknown

Last updated

2026-08-03

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

Conditions

Infectious keratitis Infectious keratitis Artificial intelligence Deep learning

Interventions

Patients with infectious keratitis from clinical diagnosis

Diagnostic

Infectious keratitis patients

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Clinical diagnosis of infectious keratitis 2. Consent is obtained from the participants or their parent/guardian

Exclusion criteria

Exclusion criteria: 1. History of corneal prosthesis (KPro or similar device) 2. Non-infectious or autoimmune keratitis 3. Participants who are decisionally and/or cognitively impaired

Design outcomes

Primary

Measure	Time frame
Infectious etiology prediction from artificial intelligence 4 weeks after enrolling the last participant culture results	—

Secondary

Measure	Time frame
Epidermiologic data of infectious keratitis at Rajavithi Hospital 4 weeks after enrolling the last participant culture results	—

Countries

Thailand

Contacts

Public ContactTeeravee Hongyok

Rajavithi Hospital, Rangsit University

teeravee.h@rsu.ac.th0929794595

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026