AIMC Topic: Retinoblastoma

Clear Filters Showing 1 to 6 of 6 articles

Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

Ophthalmic genetics Jan 20, 2025
BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with the indirect ophthalmoscope and imaging). More than 20 benign ophthalmic disorders resemble retinoblastoma and errors in diagnosis continue to be made...
Infant Humans Child, Preschool Neural Networks, Computer Sensitivity and Specificity Machine Learning Retinal Neoplasms Female Male Retinoblastoma Child Diagnosis, Differential
View on PubMed DOI

Identification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.

Scientific reports Dec 28, 2024
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transc...
Biomarkers, Tumor Male Prognosis Female Gene Regulatory Networks Gene Expression Regulation, Neoplastic Gene Expression Profiling Transcriptome Humans Machine Learning Bone Neoplasms Retinoblastoma Osteosarcoma
View on PubMed DOI

Artificial intelligence methods in diagnosis of retinoblastoma based on fundus imaging: a systematic review and meta-analysis.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Sep 18, 2024
BACKGROUND: Artificial intelligence (AI) algorithms for the detection of retinoblastoma (RB) by fundus image analysis have been proposed as a potentially effective technique to facilitate diagnosis and screening programs. However, doubts remain about...
Retinal Neoplasms Retinoblastoma Artificial Intelligence Fundus Oculi Humans
View on PubMed DOI

Automatic retinoblastoma screening and surveillance using deep learning.

British journal of cancer Jun 21, 2023
BACKGROUND: Retinoblastoma is the most common intraocular malignancy in childhood. With the advanced management strategy, the globe salvage and overall survival have significantly improved, which proposes subsequent challenges regarding long-term sur...
Deep Learning Algorithms Retinal Neoplasms Humans Cohort Studies Retinoblastoma Retrospective Studies
View on PubMed DOI

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

Indian journal of ophthalmology May 1, 2025
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 coh...
Infant Child, Preschool Predictive Value of Tests Retinal Neoplasms Reproducibility of Results Male Machine Learning Humans Retinoblastoma Female Retrospective Studies Artificial Intelligence
View on PubMed DOI

Ultrashort ssDNA in Retinoblastoma Patients Blood Plasma Detected by a Novel High Resolution HPLC Technique: a Preliminary Report.

Acta medica (Hradec Kralove) Jan 1, 2019
A significant population of ultrashort (50-150n) single-stranded DNA fragments were found in exosome-free blood plasma of retinoblastoma patients (6.84 ng mL-1), but not in plasma of healthy donors. An original high resolution HPLC technique has been...
Retinal Neoplasms Male Retinoblastoma Case-Control Studies Adult Humans DNA, Single-Stranded Child, Preschool Biomarkers, Tumor Chromatography, High Pressure Liquid
View on PubMed DOI
Popular Topics
Recent Journals