The Next Wave of Imaging Software Investment

Medical imaging and digital pathology software encompasses a broad range of technology solutions used by diagnostics providers to increase clinical efficiency and improve patient outcomes across multiple modalities. Since the early 1990s, when DICOM (Digital Imaging and Communication in Medicine) standardized imaging data across devices to enable all scans to communicate within a unified picture archiving and communications system (PACS), software has been developed to ease providers’ technical burden and streamline workflows.

We believe advanced AI capabilities could serve as the primary catalyst to spark another period of increased deal activity for both the medical imaging software and digital pathology markets. Providers are overstretched, hospitals and health systems are becoming dissatisfied with existing solutions, and the current imaging workflow is disjointed. AI-enabled software tools can mitigate these concerns when implemented pragmatically. As these solutions mature, sponsors have the opportunity to support the next generation of platforms that improve clinical efficiency and accuracy.

In this report, we will focus on the four main types of solutions that are most affected by the development of AI-enabled capabilities:

• Data interoperability solutions
• Image analysis software
• Imaging workflow tools
• Image optimization tools

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