Colposcopy and anoscopy · Post-procedural AI
One platform. Four anatomical regions.
AI to assist in the identification and differentiation of high-grade and low-grade HPV-induced squamous intraepithelial lesions in the anal canal, vagina, vulva and cervix using previously acquired colposcopy images.
01 · Intended use
Integrated HPV‑induced lesion assessment.
HPV Smart® assists the identification and differentiation of high-grade and low-grade HPV-induced squamous intraepithelial lesions in the anal canal, vagina, vulva and cervix.
The technology analyzes previously acquired colposcopy images, supports biopsy targeting through bounding boxes and generates standardized AI-driven reports.
The clinical challenge
HPV‑related precursor lesions appear across distinct anatomical regions.
Visual patterns, imaging devices and examination contexts vary. A fragmented review process can make consistent localization, differentiation and reporting more difficult.
“One interoperable workflow can bring consistency to image-based assessment across regions.”
How it works
From acquired image to structured clinical output.
HPV Smart® unifies image review while keeping final interpretation and diagnosis with the clinician.
Image import
Previously acquired colposcopy or anoscopy images enter one integrated review environment.
Quality and device normalization
Images from different compatible devices are prepared for consistent AI analysis.
Lesion localization
Bounding boxes identify image regions containing HPV-induced squamous intraepithelial lesions.
Grade differentiation
Detected findings are differentiated as low-grade or high-grade for clinical review.
Structured output
The clinician validates the result and receives a standardized AI-driven diagnostic report.
AI capabilities
One interoperable platform for HPV‑related lesion assessment.
Diagnostic accuracy presented for HPV Smart®
Cross-region image review
Supports previously acquired images of the cervix, vagina, vulva and anal canal.
Lesion detection and differentiation
Identifies HPV-induced squamous intraepithelial lesions and supports low-grade versus high-grade differentiation.
Multi-device interoperability
Brings compatible colposcopy and anoscopy images into one assessment platform.
Precision biopsy targeting
Highlights relevant regions with bounding-box guidance for focused tissue sampling.
Standardized AI reporting
Generates consistent AI-driven diagnostic reports for clinician validation.
Scientific validation
Multicenter, multi‑device evidence.
Automated detection and classification of cervical and anal squamous cancer precursors using deep learning and multidevice colposcopy
Scientific Reports · 2025 · 88,073 frames · Three device types
Read publication ↗Clinical benefits
Broader coverage. More consistent decisions.
Earlier and more accurate diagnosis of squamous cell precursors
↗One integrated platform across colposcopy and anoscopy requirements
↗Precision biopsy targeting with bounding-box guidance
↗Post-procedural analysis of previously acquired images
↗Fewer unnecessary procedures and greater workflow efficiency
↗HPV Smart®
Connect every image to a clearer decision.
Talk to our team ↗This technology is part of DigestAID's research and development pipeline. Availability and regulatory status may vary by market.