Analysis of LLMs for Clinical Observations
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Updated
Mar 13, 2026 - Python
Analysis of LLMs for Clinical Observations
clinical diagnosis in gynecology
A doctor-assistive AI system that interprets medical knowledge and patient images simultaneously. It utilizes a Dual-Encoder architecture to cross-reference textbook theory with visual pathology, generating clinically grounded diagnoses.
A hybrid AI pipeline that extracts medical symptoms from clinical text, generates a possible diagnosis with treatment recommendations, and surfaces relevant PubMed literature — exposed as both a Streamlit web app and an MCP tool.
An MCP server that extracts symptoms from clinical text, generates a possible differential diagnosis with treatment recommendations, and surfaces relevant PubMed literature.
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