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Adaptive Care Engine Beta Access • Q1 2026
EVO DOC
AI Doctor Assistant

Personalized AI treatment assistant

EvoDoc blends longitudinal health data, clinician intuition, and adaptive machine learning to unlock proactive, context-aware care.

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Why EvoDoc now?

Health data is scattered and time is tight. EvoDoc condenses signals from symptoms, structured records, and context to suggest clinically-plausible differentials. You stay in control—EvoDoc reduces cognitive load.

  • Structured symptom intake with guardrails
  • Model suggestions + transparent rationale
  • Audit trail and versioning
  • Designed for clinician oversight

For Doctors

Signal triage

Summarizes symptom clusters and flags red-flags for escalation, reducing unnecessary workups.

Explainable suggestions

Each suggestion links to contributing features so your clinical reasoning remains first-class.

Fits your workflow

Designed for short visits: fast intake, instant hypotheses, and easy documentation.

For Patients

Personal over generic

Care plans that respect allergies, meds, and goals—not one-size-fits-all handouts.

Clarity

Plain-language summaries and next steps you can actually follow without jargon.

Safer choices

Medication suggestions cross-checked with known risks and contraindications.

For Tech Folks

Tabular + NLP pipeline

Sparse binary symptom vectors + notes embeddings. Gradient boosting meets linear models.

Versioned artifacts

Reproducible datasets, model cards, and top-k eval with ROC/PR tracking.

Privacy-first

Local demos, de-identification scaffolds, and clear separation of PHI.

Interactive Demo (Mock)

Type a few symptoms and press "Suggest". This is a front-end visualization.

What you'll see

  • Top-k differentials with confidences
  • Simple rationale chips
  • Example "next step" nudges

Collaborate

Your answers stay private on your device unless you export them.

Contact

Email: jalan.raunak@outlook.com