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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.
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
Semantic reasoning layer on top of HL7-FHIR: convert FHIR bundles to a clinical knowledge graph with causality, temporality, provenance, and explainable queries.
Clinical Decision Support System - behind HealTrack. Built by Mohit Kumar Rana (AI/ML Lead), Richa Roy (NLP Engineer), and Vemula Archita (Knowledge Engineer).
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.
Open-source, AI-native, blockchain-secured, and interoperable Medical Intelligence Operating System unifying CDSS, IoT monitoring, and federated learning.