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Chestify Artificial Intelligence Labs

Origin language: English
Cover image
Target population
N/A
Beneficiaries51 - 250
EvidenceN/A
Start date2020/02
End dateN/A
StagePilot project/testing/trials
Country
Ghana
Coverage
National
Nb of implementation sites
50
Lead organization
N/A
Implementation partners
N/A

Health Focus Area
Non-communicable diseases (NCDs)
Communicable diseases
Cancer
Services
Others
Public health and disease surveillance
Predictive health and early diagnosis
Diagnostics
Enabling technologies
N/A
Standards
ISCO 08
JSON
BPPC - Basic Patient Privacy Consents
ATNA - Audit Trail and Node Authentication
ISO 3166
SVS - Sharing Value Sets
CDA - Clinical Document Architecture
CPT
ISCO 88
XDS - Cross-Enterprise Document Sharing
Tools
N/A
Funding sources
N/A
Business model
N/A
Funders
Summary
Our assistive platform features a highly accurate algorithm designed for diagnosing chest X-ray pathologies, which is the most commonly used imaging test worldwide. It acts as a supportive tool for diagnostic and interventional radiology and optimizes workflow efficiency. Radiologists can upload chest X-ray images, which are examined by Convolutional Neural Networks, allowing for the identification of abnormalities in under three minutes. This innovative technology enhances productivity with a remarkable accuracy rate of 99.99% and a tenfold increase in diagnostic reporting efficiency. Additionally, it provides a user-friendly interface for healthcare facilities and practitioners. The platform focuses on health areas including non-communicable diseases (NCDs), communicable diseases, and cancer.
Keywords
DHA
Publications
Insights - Lessons learnt
Challenges
N/A
Recommendations
N/A
Recommendations
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Any additional questions?
iDHA (Project ID)
y75j2z
Project links
https://chestifyai.com/
Origin of information
N/A
Data source link
N/A
Added to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
10
WHO classifications
WHO LogoGeneva Digital Health Hub Logo