Specializing in AI, Computer Vision, and LLMs to drive healthcare innovation and improve patient outcomes.
Creating the largest Persian medical text dataset for language model training, standardized from multiple sources to advance healthcare AI in Persian-speaking regions.
Advanced computer vision model for 3D segmentation of perianal fistulas and anal sphincter muscles, enhancing diagnostic accuracy for radiologists and surgeons.
RAG-based system analyzing multiple medical guidelines to highlight similarities and discrepancies, supporting evidence-based clinical decision making.
Developing autonomous AI agents tailored for medical workflows, focusing on efficiency in healthcare delivery and improved patient interaction.
Medical guidelines are essential — but juggling dozens of complex, sometimes conflicting documents in real time? Not easy. We're building a RAG system to fix that.
Read ArticleMedical imaging is one of the toughest playgrounds for AI. Here's a look at how we're tackling 3D MRI segmentation for complex anatomy using nnU-Net.
Read ArticleThe intersection of AI and healthcare is revolutionizing patient care. Thoughts from a physician-developer on where we are heading.
Read ArticleStarted exploring the intersection of healthcare and technology while practicing medicine, identifying key opportunities for innovation in patient care workflows.
Specialized in developing AI solutions for healthcare challenges, mastering deep learning techniques for medical imaging and natural language processing.
Working on advanced AI applications in healthcare, combining deep medical expertise with cutting-edge technology to build the next generation of clinical tools.