Updated on June 6, 2024

·

Created on October 12, 2020

Cipher

A machine learning malarial retinopathy diagnostic tool, consisting of a 3D printed camera attachment and a mobile-powered application.

Developed By Unknown
Content Partners
Unknown

Author

Product Description

Cipher is a malarial retinopathy diagnostic tool with manufacturing headquarters in Lagos, Nigeria. The product is designed and manufactured by MicroFuse Technologies and aims to diagnose the disease with at least 90% accuracy.

Target SDGs

SDG 3: Good Health and Well-Being

Market Suggested Retail Price

$150.00

Target Users (Target Impact Group)

Public Sector Agencies

Distributors / Implementing Organizations

The manufacturer distributes the product.

Manufacturing/Building Method

The hardware component for this product is manufactured in Lagos, Nigeria. The accompanying application is deployed and available for most smartphone operating systems.

Intellectural Property Type

Patent

User Provision Model

Users can obtain the product directly from the manufacturer.

Distributions to Date Status

As of 2020, there are 20 implementations of this product with a further 700 potential customers.

Telecommunication service required

Yes

Level of connection service needed

None

Additional features required

Diagnostic tool supported with recommended next steps.

Device(s) required

Smart phone with camera capabilities

Permanent network connectivity required (Y/N)

Yes

Two way communication (Y/N)

Yes

Usage rate (%)

Unknown

Literacy support (Y/N)

Yes

Languages available

Unknown

Operating system and version

AI system built using DarkNet YOLO Machine Learning Algorithm for Deep Learning

Power requirements

Unknown

eHealth application

Telemedicine and health monitoring

Design Specifications

Cipher is a mobile application with data input through images captured through smartphone camera devices with a provided camera attachment. The images are processed through the artificial intelligence system built using the DarkNet YOLO Machine Learning Algorithm for Deep Learning, to determine the diagnosis of malarial retinopathy. The mobile application provides diagnosis and recommended next steps for the patient.

Product Schematics

Technical Support

Technical support is provided in the user manual, with further support available by contacting the manufacturer.

Replacement Components

Replacement components for the camera attachment are available from the manufacturer.

Lifecycle

Unknown

Manufacturer Specified Performance Parameters

The manufacturer quotes the following performance targets: level of accuracy (<90%), efficiency, speed of diagnosis, ease of use, non-invasive.

Vetted Performance Status

Unknown

Safety

No known safety hazards related to this product.

Complementary Technical Systems

The mobile application provides diagnosis as well as the next steps following results.

Academic Research and References

None

Compliance with regulations

Standards ISO13485:1996, ISO13488:1996, ISO 14971

Evaluation methods

The product is evaluated for 90% accuracy for diagnosis as an evaluation. The manufacturer also cites non-invasive and speed, of diagnosis as evaluation criteria.

Other Information

Cipher was a product entered in the ASME iSHOW Kenya 2020.

Leave a Reply

Explore similar solutions

Agriculture

February 20, 2024

3rd Stone Design Stone Cold Solar

Read Solution

Implemented by

Stone Cold Systems

Agriculture

December 14, 2023

AFRIpads Menstrual Kit

Read Solution

Implemented by

AFRIpads

Agriculture

December 31, 2023

BioLite HomeStove

Read Solution

Implemented by

BioLite

Agriculture

February 29, 2024

CARC Hybrid Wheelchair

Read Solution

Implemented by

BRAC University

Agriculture

January 11, 2024

Caminos de Agua Ceramic filters

Read Solution

Implemented by

Caminos de Agua

Agriculture

January 17, 2024

Compartment Bag Test (CBT) Kit

Read Solution

Implemented by

Aquagenx

Agriculture

February 14, 2024

DFA Paper-based liver function test (AIDS, TB)

Read Solution

Implemented by

Diagnostics for all

Agriculture

September 23, 2023

Dispensers for Safe Water

Read Solution

Implemented by

Innovations for Poverty Action

Agriculture

November 10, 2023

Embrace Infant Warmer

Read Solution

Implemented by

Embrace Innovations

All Solutions

Contribute to E4C's Library of Breakthrough Sustainable Development Technology Solutions

Suggest A Solution

Get more information about Solutions Library and its features.

Learn More

Have thoughts on how we can improve?

Give Us Feedback

Join a global community of changemakers.

Become A Member