Genius™ Digital Diagnostics System
Digital diagnostics is the next step in cervical cancer screening, empowering labs with a new AI-based technology to help eradicate cervical cancer.
Transforming Cervical Cancer Screening
The Genius Digital Diagnostics System is the first cytology solution to combine the power of a new, deep learning-based artificial intelligence (AI) algorithm with advanced volumetric imaging technology to identify pre-cancerous lesions and cervical cancer cells.
Designed with One Goal in Mind, Eradicate Cervical Cancer
Enhance Performance
A new, advanced tool to help locate pre-cancerous and cancer cells on ThinPrep® Pap test digital images.
The volumetric scan enables high-throughput combined with exceptional image quality.
Dynamic collaboration from a digital workflow allows for remote case review.
Promote Efficiency
Accelerate review time with a single gallery sign-out for ThinPrep Pap test slides.
Free-up staff by loading up to 400 slide samples and walking away.
Prioritise STAT patients with random access and STAT carrier management.
Save Time
No lost or broken slides. Easy access of digital slides stored on the Imaging Management Server (IMS).
Zero transportation cost, with digital slides virtually transmitted between locations.
Cases available in real time, with each slide being available across the network.
Working With You to Advance Cervical Health
We pride ourselves on being champions of women’s health and global leaders in screening, dedicated to advancing the accuracy and early detection of cervical cancer. From HPV to cytology, and now also AI-based digital diagnostics, we offer a comprehensive and unique screening portfolio, from sample collection to diagnosis.
Powerful & Efficient
The system allows for easy connection and collaboration on cases, allowing for effective patient care in a fraction of the time.
A Complete Digital Cytology Solution
Genius Digital Imager
Quickly convert ThinPrep cytology slides into high-resolution, all-in-focus digital images for high-throughput image analysis. It's been designed for busy laboratories as it includes STAT carrier management, an intuitive interface and ergonomic slide handling.1
Genius Cervical AI
Target cervical cancer with cutting-edge technology that identifies the most clinically relevant objects on a ThinPrep GYN image. Deep learning-based AI narrows your screening from tens of thousands of objects down to a curated gallery of images, enabling efficient review.
Genius Image Management Server (IMS)
Securely store digital images of cases across your network to enhance collaboration and manage workload. Connect to the Review Station for local or remote review, any time, anywhere.2
Genius Review Station
Combine exceptional image clarity with the simplicity of a point-and-click interface. A medical grade monitor with intelligently designed software allows you to screen cases and access your worklist for real-time review and sign out.3
Case study: A World First Trial
Lab CEO Dr Dietmar Klimas and cytologist Heike Lesle-Amour share their experiences trialling the Genius Digital Diagnostics System in one of Europe's largest labs.5
Enter a New Era of Learning
Fully interactive digital cytology educational platform. Review previously diagnosed cases, enter your interpretation and receive instant feedback.
- Access new unknown cases weekly
- Instant feedback with detailed description of diagnosis
- Library of known cases for reference
- AI-curated gallery and whole slide image views
- 10x and 40x viewing options
Insights
Genius Digital Imager Manual MAN-08801-001 Rev 002. Hologic, Inc; 2020.
Genius Image Management Server (IMS) Manual MAN-08800-001 Rev. 002. Hologic, Inc; 2023.
Digital Diagnostics Review Station Manual MAN-08802-001 Rev 003. Hologic, Inc; 2023.
Khalbuss WE, Pantanowitz L, Parwani AV. Digital imaging in cytopathology. Patholog Res Int. 2011;2011:264683. doi:10.4061/2011/264683
Ikenberg H, Lieder S, Ahr A. Comparison of the Hologic Genius Digital Diagnostics System with the ThinPrep Imaging System—A retrospective assessment. Cancer Cytopathol. 2023;1–9. DOI: 10.1002/cncy.22695.
Documents
Safety Data Sheets
Package Inserts
Hologic BV, Da Vincilaan 5, 1930 Zaventem, Belgium.
Notified Body number wherever applicable