Updated on March 8, 2024

·

Created on August 31, 2021

Bloom Standard Automated Ultrasound

Upcoming Update

Portable, AI-driven ultrasound for infants and children. Courtesy of WHO Compendium 2021

Developed By
  1. Bloom Standard
Tested By
  • Chinese University of Hong Kong
  • University of Minnesota
Content Partners
Unknown

Author

Product Description

The Bloom Standard Automated Ultrasound is a portable ultrasound designed to screen and diagnose infants and children for cardiac and respiratory conditions without the need for medical experts to manually screen the images. The product integrates AI-driven software that screens the images and provides results and referral guidance. This product is still in the prototyping phase, as of 2020.

This product was selected for inclusion in WHO’s 2021 Compendium of Innovative Health Technologies for Low‐Resource Settings.

Target SDGs

SDG 3: Good Health and Well-Being

Market Suggested Retail Price

$600.00

Target Users (Target Impact Group)

Small and Medium-sized Enterprises, Public Sector Agencies, NGOs

Distributors / Implementing Organizations

None

Competitive Landscape

Direct competitors include GE VScan Pocket Ultrasound.

Manufacturing/Building Method

Unknown (product still in the prototyping phase)

Intellectural Property Type

Patent

User Provision Model

Once launched, the product will be sold and distributed to health care workers at hospitals and clinics in low- and middle-income countries.

Distributions to Date Status

This product is still under development as of 2020.

Design Specifications

The device features a wearable chest plate with a transducer array and sensor housing in the center. Ultrasound images are collected and analyzed by an AI-driven decision-making tool to support a diagnosis.

Product Schematics

Technical Support

Provided by the designers

Replacement Components

Unknown

Lifecycle

2-5 years

Manufacturer Specified Performance Parameters

Designers aim to reduce the cost of ultrasound technology by 10x, provide automated diagnostics, and integrate with smartphone devices.

Vetted Performance Status

Testing for the machine learning algorithms is underway, as of 2020. Additionally, testing for transducer placement has been completed.

Safety

Unknown

Complementary Technical Systems

Smartphone or tablet

Academic Research and References

None

Compliance with regulations

Unknown

Evaluation methods

Lab-based testing is ongoing, as of 2020. Field pilot testing is planned for 2021.

Other Information

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