About Aidoc

AIDOC utilizes blockchain technology and AI-driven medical applications to provide real-time health monitoring and personalized wellness insights by continuously analyzing users' vital sign data. The platform enables users to securely store and trade their health data, facilitating contributions to clinical research and disease diagnosis while offering a comprehensive ecosystem of health services.

```xml <problem> Current methods of health monitoring often lack continuous, real-time data analysis and secure data storage, hindering proactive health management and the ability for individuals to contribute their data to medical research. Existing systems may also fail to provide personalized wellness insights based on comprehensive physiological data. </problem> <solution> AIDOC is developing a platform that combines AI and blockchain technology to provide continuous health monitoring and personalized wellness insights. The system analyzes vital sign data in real-time, offering users a 24-hour health analysis from an AI-driven medical expert capable of anticipating potential health issues and suggesting solutions. The platform aims to enable users to securely store and manage their health data, allowing them to contribute to clinical research and potentially benefit from the value of their data. </solution> <features> - Real-time analysis of vital signs using AI algorithms. - Secure storage of health data on a blockchain-based platform. - Personalized wellness insights and recommendations based on individual health data. - Integration with smart hardware and IoT devices for continuous data collection. - A "Life Bank" feature that allows users to potentially trade their health data for tokens. - Development of a "Bit-digital Man" function module to quantify physiological lifecycle data. - AI Super Doctor functionality providing decentralized smart medical apps. </features> <target_audience> The primary target audience includes individuals seeking proactive health management, personalized wellness insights, and secure control over their health data, as well as medical researchers and institutions seeking access to aggregated health data for clinical research. </target_audience> ```

What does Aidoc do?

When was Aidoc founded?

Aidoc was founded in 2016.

How much funding has Aidoc raised?

Aidoc has raised 30000000.

Founded

2016

Funding

30000000

Employees

496 employees

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Aidoc

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Executive Summary

aidoc.me 30K+

Crunchbase

Founded 2016

Funding

Estimated Funding

$20M+

Team (250+)

No team information available.

Company Description

Problem

Current methods of health monitoring often lack continuous, real-time data analysis and secure data storage, hindering proactive health management and the ability for individuals to contribute their data to medical research. Existing systems may also fail to provide personalized wellness insights based on comprehensive physiological data.

Solution

AIDOC is developing a platform that combines AI and blockchain technology to provide continuous health monitoring and personalized wellness insights. The system analyzes vital sign data in real-time, offering users a 24-hour health analysis from an AI-driven medical expert capable of anticipating potential health issues and suggesting solutions. The platform aims to enable users to securely store and manage their health data, allowing them to contribute to clinical research and potentially benefit from the value of their data.

Features

Real-time analysis of vital signs using AI algorithms.

Secure storage of health data on a blockchain-based platform.

Personalized wellness insights and recommendations based on individual health data.

Integration with smart hardware and IoT devices for continuous data collection.

A "Life Bank" feature that allows users to potentially trade their health data for tokens.

Development of a "Bit-digital Man" function module to quantify physiological lifecycle data.

AI Super Doctor functionality providing decentralized smart medical apps.

Target Audience

The primary target audience includes individuals seeking proactive health management, personalized wellness insights, and secure control over their health data, as well as medical researchers and institutions seeking access to aggregated health data for clinical research.