AI-Powered HPV Cervical Cancer Early Detection

AI-POWERED HPV CERVICAL CANCER EARLY DETECTION

Enhancing Diagnostic Confidence and Management


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AI-DRIVEN PREDICTIVE MODEL FOR HPV-CERVICAL DISEASES

NEXT-GEN CERVICAL DIAGNOSIS ASSISTANCE

Cervital® is a multimodal deep learning model for cervical pre-cancers and cancers predictions

No extra appointments, equipment, practitioners or waiting time required. Cervital® is Plug & Play

Reducing time spent on the act to allow healthcare professionals to focus on essential tasks

With an improved prediction of over 10 points compared to the knowed practice

Cervital®: Your virtual expert for the best prediction and detection in every consultation!

MULTIMODAL AI-DRIVEN ANALYSIS TO SAVE LIVES

WHY CHOOSE CERVITAL®

Traditionally, cervical cancer diagnostic have relied heavily on coloscopy and the subjective judgment of healthcare professionals. Cervital® redefines the patient and practitioner experience

IMPACTS

  • Improve Early Accurate Detection: Ensuring early and accurate diagnosis of cervical pre-cancers and cancers
  • Enhance Efficiency: Reducing unnecessary procedures and follow-ups to allow healthcare professionals to focus on essential tasks
  • Alleviate Patient Stress: Providing reliable and swift diagnoses to reduce the anxiety and stress associated with medical examinations and false positives
  • Reduce Healthcare Costs: Minimizing redundancy and improving efficiency to lower overall healthcare costs

TRADITIONAL MANAGEMENT VS CERVITAL® ASSISTANCE

 TraditionalWith Cervital®
Sensitivity and SpecificityLowerHigher
Diagnostic AccuracyModerateHigh
Time SavingsLowerHigher
Follow-Up ProceduresMoreFewer
Patient Stress and AnxietyHigherLower
REDEFINING HEALTHCARE STANDARDS

Cervital® combine 30+ years of expertise in colposcopy with more than 2×20 years of experience in launching startups

Cervital® was envisioned by Professor Joseph Monsonego, a renowned worldwide expert in papillomavirus infections and related cancers. With decades of clinical experience and a database of over 60,000 cases – with historical data and imaging data available for each consultation for over 20 years – he developed an AI model for real-time prediction of cervical precancers and cancers. This model, validated by international research, enhances diagnostic accuracy and clinical decision-making.

Traditional cervical cancer diagnosis relies on subjective visual assessments. Cervital addresses this by providing a reliable, objective tool. Collaborations with researchers from École Polytechnique and McGill University optimized the model’s performance.

Led by Joseph serving as Chief Medical Officer, Cervital aims to revolutionize early detection and management of cervical cancers through AI. With an international network of clinical evaluators, Cervital® is committed to improving diagnostics and contributing to the elimination of cervical cancer, aligning with WHO goals. This innovative approach combines clinical expertise and technology for more predictive, preventive, and accessible healthcare.

Cervital®: Your virtual expert for the best prediction and detection in every consultation!

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