Genius™ Digital Diagnostics System – A Digital Cytology Diagnostic Platform for Cytotologists and Pathologists

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  • 2025

  • Digital
    Apps and Software

Commissioned By:

Hologic, Inc.

Designed In:

United States of America

The Genius™ Digital Diagnostics System is a digital cytology review system that revolutionizes cancer diagnosis. It integrates advanced volumetric imaging and AI with a user-centric interface (the Genius™ Review Station) to improve diagnostic accuracy, reduce false negatives and enable remote case review, which enhances patient care and workflow efficiency.


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  • CHALLENGE
  • SOLUTION
  • IMPACT
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  • Every year, over 660,000 women globally are diagnosed with invasive cervical cancer, often too late for effective treatment. Traditional screening methods frequently miss high-grade lesions, leading to delayed diagnoses and poorer outcomes. Moreover, underserved areas suffer from a lack of access to pathologist expertise due to the reliance on physical slide reviews. Moving from glass to digital presented a significant challenge of creating a system that not only mimics medical professionals’ familiar workflows but also augments reviewers' capabilities, unlocking new possibilities. This groundbreaking system required careful application of artificial intelligence and digital adoption in current workflows in labs.

  • The Genius™ Review Station, an integral part of Hologic’s Genius™ Digital Diagnostics System, revolutionizes cervical cancer screening by integrating an intuitive interface with artificial intelligence and advanced imaging. This cutting-edge technology empowers medical professionals to remotely detect pre-cancerous lesions with unparalleled accuracy, supporting decentralized reviews. The digital user interface, designed with usability heuristics, creates a seamless user experience that integrates smoothly into predominantly physical workflows. Digital tools, such as zooming, scrolling and annotating slides, allows reviewers to engage with patient slides in an innovative manner. Hologic’s Genius™ Digital Diagnostics System addresses existing gaps in cancer care, saving lives daily.

  • FDA-approved in February 2024, the Genius™ Digital Diagnostics System transforms cancer care by enabling remote access to digitized patient samples, making expert insights globally accessible, especially in underserved areas. Its scalable design significantly reduces the need for physical storage and transportation of glass slides, thereby minimizing environmental impact. The Genius™ Review Station's intuitive user interface transforms the current workflow into an AI-enhanced process, boosting review accuracy while maintaining a familiar experience for reviewers. This groundbreaking solution sets a new standard in cervical cancer screening, merging innovation, precision, and user-centric design to improve patient care and save lives.

  • User-Centric Design: Developed in close collaboration with one hundred twenty medical professionals, Hologic and Invetech conducted three rounds of research to understand user needs and pain points. This research was translated into an intuitive interface that simplifies the review process, making it faster and more accurate for reviewers. The review screen was intentionally designed to mimic familiar interactions, such as zooming and scrolling in interactive maps. Frequent usability tests ensured intuitive interactions across the digital workflow. Accessibility and Remote Care: The Genius™ Review Station user interface empowers experts to remotely share and access digitized cancer cell images, making cancer care accessible to those who lack local expertise or are in underserved areas. Additionally, the system allows users to add comments while reviewing, enabling instantaneous, slide-specific communication. Sustainability: Scalable design reduces the need for physical storage and transportation of glass slides, minimizing environmental impact. Artificial Intelligence (AI): The integrated artificial intelligence advances cancer screening by creating a workflow that supports more accurate reviews. The AI-driven gallery of 'Objects of Interest' allow reviewers to easily identify diagnostically relevant regions, while still giving them the agency and flexibility to review the entire slide image as needed.