Kannan Sridharan

LLM-Generated Visual Summaries of Cochrane Plain-Language Summaries: A Pilot Expert-Rated Study and Implications for Research Communication

Background: Plain-language summaries (PLSs) improve accessibility of medical research for patients but remain predominantly text-based. Large language models (LLMs) can now generate images from text. We carried out the present exploratory study to evaluate whether LLMs can genera...

Machine learning integrated explainable artificial intelligence in predicting toxicities of enfortumab vedotin in urothelial carcinoma: an exploratory study

Background Enfortumab vedotin (EV) therapy for advanced urothelial carcinoma is limited by adverse events (AEs). Early identification of high-risk patients is needed. This proof-of-concept study evaluated whether machine learning (ML) with explainable AI (SHAP) could predict EV t...