Gad Segal

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department

Ethical and regulatory challenges of large language models in medicine

A blockchain-based computerized network infrastructure for the transparent, immutable calculation and dissemination of quantitative, measurable parameters of academic and medical research publications

Utilization of machine-learning models to accurately predict the risk for critical COVID-19