Health Triage S.p.A.
Health Triage develops AI-powered medical devices for oncology screening and diagnosis. The company's deep learning algorithms automate parts of the diagnostic process, supporting clinicians in breast cancer screening and prostate cancer classification. Its BreastNegative device automatically identifies negative mammograms in screening programs, while Prostate V-Bio classifies prostate tumors by Gleason Grade using MRI.
- Artificial Intelligence
- Digital Health
- Hardware
- Healthcare Technology
- Medical Devices
- Software Only
Funding
Founders
Product
Problem
Cancers such as breast and prostate tumors are often detected at advanced stages when treatment options are limited and survival rates decrease. Traditional diagnostic workflows rely heavily on manual image interpretation, which is time-consuming, subject to human error, and creates significant workloads for radiologists and pathologists. This delays diagnosis and limits the capacity of screening programs to reach broad populations.
Solution
Health Triage creates AI-based medical devices that support clinicians in oncology screening and diagnosis. The company develops proprietary deep learning algorithms that automate parts of the diagnostic process, reducing workload and improving diagnostic quality. Its two main products target breast and prostate cancer: BreastNegative automatically identifies negative mammograms in screening programs, while Prostate V-Bio classifies prostate tumors according to Gleason Grade using MRI data. These tools are designed to integrate into clinical workflows, providing a "second look" that assists rather than replaces the clinician's judgment.
Target Audience
Primary customers are radiologists, urologists, and healthcare facilities involved in cancer screening programs, as well as hospital networks seeking to improve diagnostic efficiency and accuracy in oncology.
Features
- BreastNegative: a medical device that automatically identifies negative mammograms in screening programs, helping prioritize cases that require radiologist review
- Prostate V-Bio: a non-invasive system based on MRI that classifies prostate cancer according to Gleason Grade, supporting active surveillance decisions
- Proprietary deep learning algorithms developed through an interdisciplinary approach integrating clinical, technical, and scientific expertise
- AI models trained on large-scale oncological datasets, including collaboration with Cancer Research UK's OPTIMAM mammography database
- Clinical validation focus with ongoing studies, including the Breast.AI Perspective project involving over 100,000 women across Italian regions