Anish Narayan

Comparative Performance of Federated and Centralized Learning for Brain Tumor Classification and Segmentation

Purpose To compare federated learning (FL) and centralized learning (CL) performance for brain tumor classification and segmentation and examine whether specific configurations confer measurable performance advantages. Materials and Methods In this systematic review and meta-anal...

Inter-Model Variability of ChatGPT, Gemini and Claude in Treatment Recommendations for Unruptured Intracranial Aneurysms

Abstract Patients increasingly consult large language models (LLMs) before specialist review, yet whether frontier models agree with one another in nuanced clinical domains such as unruptured intracranial aneurysm (UIA) management remains uncharacterised. We therefore quantified...