BrizAI

BrizAI - Future of Healthcare

BrizAI is an AI-powered healthcare assistant platform that positions itself as an AI twin for patients and clinicians. It aims to simplify patient care by collecting comprehensive pre-consultation data, generating personalized treatment plans during consultations, and executing and monitoring these plans post-consultation. The system emphasizes personalization, continuous learning from user data, and end-to-end support across the patient journey.

How it works at a high level:

• Pre-Consultation: The AI Twin gathers complete patient information to ensure no detail is missed before the clinical encounter.
• During Consultation: The AI Twin analyzes collected data and generates personalized treatment plans and prescriptions tailored to the patient.
• Post-Consultation: The AI Twin executes the treatment plan, tracks patient progress, and suggests follow-ups to optimize outcomes.

Beta and Participation:

• BrizAI invites users to join its beta program and watch a demo to experience the platform.
• Interested professionals can apply by submitting a resume/CV and LinkedIn profile to the provided email. The team will review profiles and respond.

Privacy and Rights:

• The platform emphasizes privacy and iteration with user data during the beta program. Details on data storage and handling are aligned with the privacy policy.

Usage Scenarios:

• Personal health management with a digital twin that helps tailor care plans.
• Collaborative care where the AI twin supports clinicians with data-driven insights.
• Monitoring and follow-up automation to ensure adherence and timely adjustments.

How to Engage:

1. Watch the Demo to understand capabilities and workflows.
2. Join the Beta to experience live interactions with the AI Twin.
3. Register interest via email and provide a resume/CV and LinkedIn for consideration.

Disclaimer: BrizAI is presented as a beta platform for exploratory use and is subject to ongoing development and privacy considerations. Users should rely on professional medical advice for treatment decisions.

Features

• AI Twin for Pre-Consultation data collection and completeness checks
• During-Consultation: AI-driven personalized treatment plans and prescription generation
• Post-Consultation: Automated execution, progress monitoring, and follow-up recommendations
• End-to-end care support across pre-, during-, and post- consultation stages
• Beta access with live demos and trial opportunities
• Easy onboarding via email submission for professional collaboration
• Privacy-conscious design aligned with policy during beta
• Potential collaboration tools for healthcare professionals and patients