Physician-Developer specializing in AI, Computer Vision, and LLMs for healthcare innovation
Took the lead on merging, cleaning, and standardizing data from multiple sources to create the largest Persian medical text dataset for language model training, pushing forward healthcare AI for Persian-speaking communities.
Developing an advanced computer vision model for the detection and segmentation of perianal fistulas, as well as the internal anal sphincter, external anal sphincter, and supralevator muscles, using 3D segmentation techniques. This work aims to enhance diagnostic accuracy and treatment planning for both radiologists and surgeons.
Created a RAG-based system that analyzes multiple medical guidelines, highlighting similarities and differences to assist healthcare providers in decision-making.
Currently working on developing AI agents for medical applications, focusing on improving healthcare delivery and patient outcomes.
The intersection of artificial intelligence and healthcare is revolutionizing how we approach patient care and medical research. As both a physician and AI developer, I’ve witnessed firsthand the transformative potential...
Read MoreMedical imaging is one of the toughest playgrounds for AI — 3D scans, crazy complex anatomy, and sky-high accuracy demands. Here’s a look at how we’re tackling it using nnU-Net,...
Read MoreMedical guidelines are essential — but juggling dozens of complex, sometimes conflicting documents in real time? Not easy.
Read MoreStarted exploring the intersection of healthcare and technology while practicing medicine, identifying opportunities for innovation.
Specialized in developing AI solutions for healthcare challenges, focusing on medical imaging and natural language processing.
Working on advanced AI applications in healthcare, combining medical expertise with cutting-edge technology to improve patient care.