An R shiny app for data analysis of observational clinical study

A ward round assistant who helps medical personnel to query medical record data with LLM

Early stage tooth wear decision support system app for windows. This project is a part of the COMP0016 module at UCL for the 2022/23 cohort. We are team 10 under this module and this project was done in partnerhip with the UCL Eastman Dental Institute.

Leverage LLM agent to conduct clinical consultation

Official implementation of 'AI-Enabled Digital Healthcare Workflow'. This AI-CDSS platform combines a fine-tuned VGG16 vision engine with LLMs to provide automated classification and Narrative Interpretability for chronic wound triage.

a microservice that leverages existing CDS Hooks and guideline representation formalisms to query, and manipulate, clinical workflow contexts towards identifying information to trigger parts of computable guidelines

A Parkinson's Disease clinical decision support system (cdss) based on the Parkinson's Progression Markers Initiative (PPMI) data.

Stage 2 of the Daktus CDSS pipeline: eval and correction harness for LLM-generated clinical protocols. Pydantic schemas, AST-based logic validation, LLM-as-judge audits, multi-model routing via OpenRouter, closed-loop feedback learning, cost telemetry.

Semantic reasoning layer on top of HL7-FHIR: convert FHIR bundles to a clinical knowledge graph with causality, temporality, provenance, and explainable queries.

The ruby gem implementation for the CDSS REST API

Developed a Clinical Decision Support rule using LLaMA 3 to generate guideline-based asthma follow-up reminders for patients ≥5 years, supporting assessment, therapy adjustment, and timely follow-up.

CLEAR-Shock: Contrastive LEARning for Shock

Contribute to My Terpsichore's code base. Create a feature, fix an error, or help maintain this open source community that we all love.

Stage 1 of the Daktus CDSS pipeline: skill-based context harness that transforms a clinical briefing into a validated, EHR-compatible JSON protocol. Progressive disclosure over markdown skills, model-agnostic.

A comprehensive CDSS platform for patient registration, digital anamnesis, and smart prescription with real-time drug interaction alerts.

Stage 3 of the Daktus CDSS pipeline: clinical decision engine. Consumes encounter bundles + validated protocols and returns structured anamnesis, management recommendations, and evidence-linked rationale grounded in the curated knowledge base.

afib cdss

My bachelor thesis project: an analysis to predict cardiovascular diseases in obese patients

Clinical Decision Support System (CDSS) is an AI-driven healthcare platform that assists doctors with disease diagnosis, blood report analysis, X-ray evaluation, and medical research insights. It includes a multilingual AI medical bot and EHR system to enhance patient care and support informed decision-making.