NeuralMed: Detection of Covid-19 Pulmonary Alterations on Chest X-rays Using Artificial Intelligence
The goal of this operation is to use artificial intelligence models based on deep learning to analyze chest X-ray images to better and accurately detect pulmonary changes in patients with suspected Covid-19.

Project Detail

Country

Brazil

Project Number

BR-T1454

Approval Date

June 12, 2020

Project Status

Closed

Project Type

Technical Cooperation

Sector

HEALTH

Subsector

DISEASE PREVENTION & CONTROL

Lending Instrument

Multilateral Investment Fund Instrument

Lending Instrument Code

MIF

Modality

-

Facility Type

-

Environmental and Social Impact Category (ESIC)

-

Total Cost

USD 133,000.00

Country Counterpart Financing

USD 58,000.00

Original Amount Approved

USD 75,000.00
Financial Information
Operation Number Lending Type Reporting Currency Reporting Date Signed Date Fund Financial Instrument
ATN/ME-18059-BR Non-Sovereign Guaranteed USD - United States Dollar Multilateral Investment Fund II (MIF) - Nonreimbursable
Operation Number ATN/ME-18059-BR
  • Lending Type: Non-Sovereign Guaranteed
  • Reporting Currency: USD - United States Dollar
  • Reporting Date:
  • Signed Date:
  • Fund: Multilateral Investment Fund II (MIF) -
  • Financial Instrument: Nonreimbursable

Can’t find a document? Request information

 Implementation Phase
https://www.iadb.org/document.cfm?id=EZSHARE-1298582283-2
Donors Memorandum
BR-T1454 - Plan of operations.pdf
May. 13, 2021
English

Have an Environmental or Social issue related to IDB projects? File a Complaint