Success case

Edge AI in Healthcare Enables Smart Medical Industry with Digital Diagnosis and Remote Patient Monitoring

Digital transformation is essential to any traditional industry’s revolution to adopt new technologies to enhance

Edge AI in Healthcare Enables Smart Medical Industry with Digital Diagnosis and Remote Patient Monitoring
Industry
Healthcare
Application
Patient Monitoring and Digital Pathology

Project background and needs

This is an edge AI healthcare monitoring example: a remote monitoring scenario for medical facilities that continuously recognizes changes in patient status and alerts the care team when a dangerous event such as a fall occurs.

Continuous Patient Monitoring

  • Caregivers needed to continuously monitor patient status.
  • Manual monitoring was labor-intensive and carried a risk of missed events.

Critical status changes needed to trigger assisted alerts.

Pathology Image Processing

  • Traditional pathology analysis relied on manual identification and counting under a microscope.
  • Results were limited by subjectivity, efficiency, and slide access.

Digital images needed support for assisted viewing and analysis.

Solution and architecture

Monitoring Approach

An overview of capturing behavior video with a small computer and camera, and introducing pose-recognition tools such as alwaysAI.

Digital Pathology Approach

Whole-slide digital images are used for annotation, navigation, and analysis; a sliding window divides the image into patches to reduce memory load.

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