TTM Psoriasis CDS
Clinical Decision Support — Thesis Prototype

ระบบนี้เป็นเครื่องมือช่วยตัดสินใจทางคลินิก ไม่ใช้แทนดุลยพินิจของแพทย์·This system is a clinical decision support tool and does not replace clinician judgment. Research prototype — not a medical device, not for autonomous diagnosis.

Thesis Research Prototype

Thai Traditional Medicine —
Psoriasis Clinical Decision Support

An explainable, rule-based decision support prototype combining a curated TTM knowledge base with safety governance and clinician oversight. Designed for transparent reasoning, expert validation, and research demonstration.

Launch Clinical App How the AI WorksSystem ArchitectureResearch Validation

ระบบนี้เป็นเครื่องมือช่วยตัดสินใจทางคลินิก ไม่ใช้แทนดุลยพินิจของแพทย์

Disclaimer: This system is a clinical decision support tool and does not replace clinician judgment. Research prototype only — not a medical device, not for autonomous diagnosis.

Workflow overview

From symptom intake to clinician-validated case report.

  1. 1Step 1
    Symptom intake
    Clinician enters standardized findings (erythema, scaling, pustules, BSA, etc.).
  2. 2Step 2
    Rule-based prediction
    Deterministic syndrome prediction with explicit rationale.
  3. 3Step 3
    Knowledge-base lookup
    Evidence panel pulls explainability traces, safety rules, therapy direction, consensus.
  4. 4Step 4
    Clinician review
    Clinician confirms, modifies, or overrides — override is highlighted and stored.
  5. 5Step 5
    Case report & validation
    Exportable case report; expert reviewers rate the case for thesis evaluation.

Key features

Structured symptom intake

Standardized inputs aligned to the project's ML feature schema.

Rule-based syndrome prediction

Transparent, deterministic logic — no black-box model in the prototype.

Knowledge-base evidence

Live lookup of explainability traces, therapeutic directions, safety rules, and consensus.

Clinical safety rules

Triggers urgent-referral flags before any therapeutic suggestion.

Clinician override intelligence

Final decision always rests with the clinician; overrides are logged and compared.

Expert validation mode

Structured 1–5 ratings across usefulness, clarity, safety, evidence, and usability.

Explore the prototype

Clinical App
Run a case end-to-end.
How the AI Works
Reasoning, evidence, override.
System Architecture
Layers and data flow.
Limitations & Safety
What this system is — and isn't.
Research Validation
Expert reviewer scores.
Reviewer Mode
Submit a structured 1–5 review.