ScreenPoint Medical Integrates Transpara Breast AI with Precision Imaging Network, part of Microsoft for Healthcare, to streamline radiology workflows

ScreenPoint Medical brings Transpara Breast AI to Microsoft's Precision Imaging Network. The partnership streamlines deployment and scales across mammography.

Categorized in: AI News Healthcare
Published on: Dec 02, 2025
ScreenPoint Medical Integrates Transpara Breast AI with Precision Imaging Network, part of Microsoft for Healthcare, to streamline radiology workflows

ScreenPoint Medical brings Transpara Breast AI to Precision Imaging Network by Microsoft for Healthcare

ScreenPoint Medical completed a commercial agreement to make its Transpara Breast AI portfolio available through Precision Imaging Network, part of Microsoft for Healthcare. The integration gives hospitals and imaging centers a simpler, more scalable way to deploy Breast AI across mammography and related modalities.

The goal is direct: improve screening workflow, support clinical decision-making, and expand access to AI where radiologists read. By meeting providers inside existing systems, the path from evaluation to production becomes clearer and faster.

What this means for healthcare organizations

  • Simplified deployment: Cloud-enabled access via Precision Imaging Network reduces custom integration work.
  • Standardized connection point: A secure, unified path to initiate and manage clinical AI capabilities.
  • Scalability: Built to expand across sites, service lines, and volumes as adoption grows.
  • Modality coverage: Supports mammography and related breast imaging workflows.
  • Operational impact: Aims to reduce reading workload by acting as a "second pair of eyes" and improving decision confidence.

Why Transpara is relevant to breast imaging teams

Transpara is a clinically validated Breast AI portfolio used to help detect breast cancers earlier and reduce reading burden. In practice, it supports case prioritization, assists in identifying suspicious findings, and helps standardize reading across teams and sites.

With Precision Imaging Network, access and updates are centralized, helping IT and clinical leadership maintain consistency, security, and uptime across environments.

Leadership perspective

Pieter Kroese, CEO, ScreenPoint Medical: "Our mission is to improve breast cancer detection and empower clinical teams with advanced technology. Our collaboration with Precision Imaging Network enables us to broaden access to the Transpara Breast AI portfolio and help providers adopt artificial intelligence in a way that fits their specific operational and IT environments."

Vikram Chhabra, General Manager, Diagnostic Solutions at Microsoft: "Healthcare organizations are seeking solutions that simplify clinical workflows and support better patient care. By integrating Transpara solutions with Precision Imaging Network, ScreenPoint Medical offers providers an efficient pathway to access breast imaging decision support while taking advantage of the security and scalability of Microsoft for Healthcare's platform and presence."

Practical next steps for health systems

  • Map current-state workflow (acquisition, reading, QA) and identify where AI can reduce friction.
  • Confirm modality and viewer compatibility across sites; plan for pilot and phased rollout.
  • Define success metrics: reading time, recall rates, detection yield, case prioritization, and staff satisfaction.
  • Engage IT early: security review, identity/access, data routing, audit requirements, and support model.
  • Plan clinical governance: reader training, QA processes, bias monitoring, and version control.
  • Measure and report outcomes to guide scaling decisions and budget planning.

About ScreenPoint Medical

ScreenPoint Medical builds AI-driven technology across the breast imaging continuum to improve consistency, reduce uncertainty, and enhance patient experience. Proven through research and trusted by radiologists worldwide, Transpara Breast AI supports teams focused on earlier cancer detection and better workflows. We are Breast AI.

Learn more


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