Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR).

Journal: Indian journal of ophthalmology

PMID: 40272303

Abstract

PURPOSE: To test the accuracy of a trained artificial intelligence and machine learning (AI/ML) model in the diagnosis and grouping of intraocular retinoblastoma (iRB) based on the International Classification of Retinoblastoma (ICRB) in a larger cohort.

Authors

Vijitha S Vempuluru

Ocular Oncology Services, Operation Eyesight Universal Institute for Eye Cancer, L. V. Prasad Eye Institute, Hyderabad, Telangana, India.
Gaurav Patil
Rajiv Viriyala
Krishna K Dhara
Swathi Kaliki

Keywords

Artificial Intelligence Child, Preschool Female Humans Infant Machine Learning Male Predictive Value of Tests Reproducibility of Results Retinal Neoplasms Retinoblastoma Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (40272303)

Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR).

Abstract

Authors

Keywords

External Resources

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