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Augment Health

Augment Health develops AI-powered smart bladder monitoring devices that eliminate the need for urine collection bags in neurogenic bladder patients. This technology enhances bladder health management and enables urologists to provide proactive care options.

Nashville, United StatesFounded 20193300+ followers
Updated 20 months ago

Funding

Funding not disclosed

HE
Funding rounds are not available yet.

Founders

Product

Problem

Neurogenic bladder patients often rely on urine collection bags, which can be cumbersome, uncomfortable, and increase the risk of infection. Traditional bladder management lacks real-time monitoring, hindering proactive care and timely intervention for potential complications.

Solution

Augment Health is developing an AI-powered smart bladder monitoring device designed to eliminate the need for external urine collection bags. The device provides continuous, real-time data on bladder function, enabling proactive management of bladder health. By leveraging artificial intelligence, the system analyzes collected data to identify potential issues early, allowing urologists to provide timely and personalized care. This technology aims to improve the quality of life for neurogenic bladder patients by offering a more convenient and less invasive bladder management solution.

Target Audience

The primary target audience includes neurogenic bladder patients seeking a more convenient and proactive bladder management solution, as well as urologists and healthcare providers specializing in bladder health.

Features

  • Continuous, real-time bladder monitoring via an implanted or wearable device.
  • AI-powered data analysis for early detection of bladder dysfunction and potential complications.
  • Wireless data transmission to a secure platform for remote monitoring by healthcare providers.
  • Personalized alerts and recommendations based on individual patient data.
  • Integration with existing electronic health record (EHR) systems.
This profile is AI-generated and may contain inaccuracies.