Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Topic Modeling, Biomedical Text Mining and Ontologies, Retinal Imaging and Analysis, and Artificial Intelligence in Healthcare and Education.
Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models
AgentMD: Empowering language agents for risk prediction with large-scale clinical tool learning
AI Workflow, External Validation, and Development in Eye Disease Diagnosis
Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer
The application of extracorporeal shock wave therapy on stem cells therapy to treat various diseases
Diagnostic performance and prognostic value of circulating tumor DNA methylation marker in extranodal natural killer/T cell lymphoma
A deep network DeepOpacityNet for detection of cataracts from color fundus photographs
Functional Brain Network Alterations in Patients With Systemic Lupus Erythematosus With Different Cognitive Function States: A Graph Theory Analysis Study
Predicting myocardial infarction through retinal scans and minimal personal information
DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity
Detecting visually significant cataract using retinal photograph-based deep learning
Robust convolutional neural networks against adversarial attacks on medical images
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Identify the triple-negative and non-triple-negative breast cancer by using texture features of medicale ultrasonic image
Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine
A giant hemolymphangioma of the pancreas
Neutrophil‐to‐Lymphocyte Ratio Positively Correlates to Age in Healthy Population