MedScribe AI — An Agentic Radiologist's Assistant
--- title: "MedScribe AI — An Agentic Radiologist's Assistant Built with Open-Source AI" published: true tags: devchallenge, hf26challenge, ai, healthcare The Problem Radiology reporting is slow, expensive, and inaccessible — especially in low-resource settings like Pakistan where radiologists are
Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Submission 💸
--- title: "MedScribe AI — An Agentic Radiologist's Assistant Built with Open-Source AI" published: true
Radiology reporting is slow, expensive, and inaccessible — especially in low-resource settings like Pakistan where radiologists are scarce. Most diagnostic AI tools stop at a raw prediction, leaving clinicians unable to act efficiently.
MedScribe AI is an agentic assistant that supports radiologists by combining computer vision with generative AI to produce full clinical reports from chest X-ray images — in seconds.
Running on open models means patient X-rays never leave the user's control — critical for healthcare privacy.
A clinic paying $50/month for preliminary AI triage is far cheaper than hiring a part-time radiologist.
CV Model: PyTorch · ResNet18 · TorchXRayVision · Grad-CAM AI Agents: LangGraph · Groq (gpt-oss-120b) · ReAct App: Streamlit · Python
Built in 48 hours at Pak Angels Generative & Agentic AI Hackathon (Cohort 11) by a team of 6 from Pakistan 🇵🇰
Open source AI isn't just a technical choice — for healthcare in underserved regions, it's the only choice that makes the economics work.