The new Genius Digital Diagnostics System from Hologic, Marlborough, Mass, is now CE marked. 

Genius Digital Diagnostics is the first digital cytology platform to combine a new artificial intelligence (AI) algorithm with advanced digital imaging to help cytotechnologists and pathologists identify precancerous lesions and cancer cells in women. The system can rapidly analyze all cells on a ThinPrep Pap test slide, narrowing tens of thousands of cells down to a gallery view of the most diagnostically relevant images. This will help provide healthcare providers with the critical information they need to guide earlier detection and better treatment decisions for the patients they serve.

“Application of AI requires digital images that are of exceptional quality,” says Kevin Thornal, president of Diagnostic Solutions Division at Hologic. “Our teams developed a breakthrough imaging technology that converts physical glass cytology slides into digital images with superior clarity. From this digitalization, advanced image analysis and improved standardization are now achievable.”

Genius Digital Diagnostics enables a more seamless and dynamic collaboration across laboratories within a network, connecting pathologists with remote review so each patient can benefit from the collective knowledge of geographically dispersed experts when needed. Digital case review promises to enhance the experience for lab partners by improving workflow and accelerating review time.

“As a part of our development process, we collaborated with cytotechnologists and pathologists to ensure we were developing a new system to meet their needs,” says Michael Quick, vice president, R&D and Innovation at Hologic. “We’re always innovating so we can help our lab partners detect more diseases and save more lives every day.”

Hologic now offers the first CE-marked comprehensive cervical cancer screening portfolio from sample collection to digital diagnosis. Genius Digital Diagnostics consists of a digital imager for image acquisition, an AI algorithm for analyzing images, an image management server for storing images, and a review station for case review. The complete system is scalable, designed to fit the present and future needs of laboratories.

For more information, visit Hologic.