VitaTwin: Your AI-Powered Digital Health Twin

Responsible AI evaluation

VitaTwin orients product evaluation toward these healthcare AI frameworks. Listing them is not a claim of certification.

Clinical intelligence layers evaluated against responsible AI frameworks

none

Signals are within expected range. Continue wellness support. No crisis markers.

concerning

Elevated distress or dysregulation. Suggest trusted support and clinician review. Still non-diagnostic.

urgent

Crisis markers. Direct to emergency / local crisis lines. VitaTwin never provides harmful guidance.

ELCAP

Evaluation of large clinical AI products, safety, utility, and deployment readiness.

QUEST

Quality, utility, ethics, safety, and transparency for health AI systems.

FUTURE-AI

International consensus on trustworthy AI in medical imaging and healthcare.

TEHAI

Translational evaluation of healthcare AI across technical and clinical dimensions.

DECIDE-AI

Reporting guideline for early-stage clinical evaluation of decision-support AI.

Healthcare AI adoption process framework

Organizational process for adopting AI into care pathways and operations.

SALIENT

Structured assessment of AI learning, evidence, and implementation in health.

AI evidence pathway

Evidence generation pathway from prototype to clinical and regulatory use.

FURM

Framework for understanding and reporting model performance in medicine.

AI for IMPACTS

Impact-oriented evaluation spanning clinical, equity, and system outcomes.

DiME playbook

Digital Medicine Society playbook for digital endpoints and evidence.

Human evaluation of LLMs in healthcare

Human-in-the-loop evaluation of large language models used in clinical contexts.