τ-CDSS

Introduction

Diagnose and predict optimal treatment, asthma treatment as demo.

User requirements

• Diagnose
• Find optimal treatment

Main features

• τ-CDSS is much more sophisticated and advanced than LLMs and knowledge graph based CDSS
• multi-layered architecture: (a) diagnose; (b) find candidate treatments by extracting and simulating experiences of specialist; (c) make prognosis based on similar historical cases; (d) find optimal individualised treatment out of b and c
• Explainable treatment through explainable AI and medical knowledge
• Support precision medicine and Evidence Based Medicine (EBM)
• asthma treatment as demo

Based on innovations of projects of BenAI Lab

Name of τ-CDSS

τ-CDSS (TAIR-CDSS, Thick AI Reasoner for Clinical Decision Support System, τ for TAIR).