What challenges did PBSF face before AI implementation?

High rate of undiagnosed neonatal seizures. Lack of access to centralized, real-time data. Shortcomings in rapid treatment responses. Significant medical and economic costs caused by disabilities.

What was the impact of the AI solution?

73% detection rate for undiagnosed neonatal seizures. Reduced treatment times resulting in fewer complications. Lowered societal and economic costs through preventive care. Improved diagnosis rates among high-risk newborns.

Source

MicrosoftLive sourceEvidence: Medium45/100

AI-powered brain monitoring system transforms neonatal care in Brazil

Use case typeRemote patient monitoringUpdated Jun 13, 2026

Protecting Brains, Saving Futures (PBSF) utilizes Microsoft Azure for remote brain monitoring in neonatal ICUs, identifying seizures and enhancing medical responses to prevent life-long complications like cerebral palsy. This AI-enabled cloud-based integration empowers hospitals nationwide, significantly increasing the detection rates for undiagnosed neonatal epilepsy and reducing societal costs related to lifelong disabilities.

Organization: PBSF
Industry: Healthcare
Location: Brazil
Published: September 2020

Reported outcomes

73%

quantified impactOther quantified impact

Strategic outcomes

New product / capabilityEnabled remote neonatal brain monitoringNew product / capabilityAdded AI seizure anomaly detectionSpeed & agilityImproved rapid treatment responsesCost efficiencyReduced societal and economic costs

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 73%

blogs.microsoft.comSep 30, 2020Blog postInferred claimMedium evidence strength

73% detection rate for undiagnosed neonatal seizures.

Last evidence check: Jul 22, 2026

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: PBSF
Provider: Microsoft
Maturity: Unknown
Linked source: blogs.microsoft.com

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Brain monitoring
2Seizure detection
3Remote health initiatives

High rate of undiagnosed neonatal seizures.
Lack of access to centralized, real-time data.
Shortcomings in rapid treatment responses.
Significant medical and economic costs caused by disabilities.

Integration of Microsoft Azure cloud platform for 24/7 infant brain monitoring.
Remote data analysis and alerts provided through cloud architecture.
AI solutions for anomaly detection in brain waves.
Collaboration with global neonatal care and telemedicine experts.

Technologies

Azure AI Microsoft Cloud

73% detection rate for undiagnosed neonatal seizures.
Reduced treatment times resulting in fewer complications.
Lowered societal and economic costs through preventive care.
Improved diagnosis rates among high-risk newborns.

Architecture

PBSF leverages Azure's scalable cloud infrastructure to monitor, store, and analyze brain wave data via AI to generate lifesaving alerts for medical staff.

Sources & evidence1

Evidence: Medium45/100Evidence strength