TAIR-CDSS

Introduction

Give optimal individualised treatment according to patient’s symptoms and medical indicators.

Detailed Explanations

TAIR-CDSS (Thick AI Reasoner for Clinical Decision Support System), the first stage is near finishing

User requirements

  • Diagnosis
  • Find optimal individualised treatment and make prognosis

Main features

  • TAIR-CDSS is much more sophisticated and advanced than LLMs based CDSS
  • Multi-layered architecture: 1) diagnosis; 2) individualised treatment by simulating specific medical specialist; 3) making prognosis; 4) optimal individualised treatment from the results of 2 and 3
  • Extract personal experiences of medical experts from very small dataset
  • Treatments are explainable through explainable AI and medical knowledge
  • Prognosis based on similar historical cases
  • Support precision medicine and Evidence Based Medicine (EBM)
  • Asthma treatment as demo

Based on innovations of BenAI Research Lab

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