6 papers
Editing with AI: How Doctors Refine LLM-Generated Answers to Patient Queries
Rahul Sharma, Pragnya Ramjee, Kaushik Murali +1
Patients frequently seek information during their medical journeys, but the rising volume of digital patient messages has strained healthcare systems. Large language models (LLMs)…
CataractCompDetect: Intraoperative Complication Detection in Cataract Surgery
Bhuvan Sachdeva, Sneha Kumari, Rudransh Agarwal +8
Cataract surgery is one of the most commonly performed surgeries worldwide, yet intraoperative complications such as iris prolapse, posterior capsule rupture (PCR), and vitreous lo…
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients
Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha +4
The healthcare landscape is evolving, with patients seeking reliable information about their health conditions and available treatment options. Despite the abundance of information…
Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery
Bhuvan Sachdeva, Naren Akash, Tajamul Ashraf +6
Cataract surgery is the most common surgical procedure globally, with a disproportionately higher burden in developing countries. While automated surgical video analysis has been e…
Learnings from a Large-Scale Deployment of an LLM-Powered Expert-in-the-Loop Healthcare Chatbot
Bhuvan Sachdeva, Pragnya Ramjee, Geeta Fulari +2
Large Language Models (LLMs) are widely used in healthcare, but limitations like hallucinations, incomplete information, and bias hinder their reliability. To address these, resear…
A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases
Ananya Jain, Aviral Bhardwaj, Kaushik Murali +1
Large language models, notably utilizing Transformer architectures, have emerged as powerful tools due to their scalability and ability to process large amounts of data. Dosovitski…