HerLens, Pioneers in Compassionate Care
Affordable AI Interpretation
HerLens offers a significantly affordable tool with 90% accuracy AI interpretation.
Expert-Driven Development
Developed in collaboration with experts, HerLens is deeply rooted in clinical expertise.
Data Security and Privacy
HerLens adheres to HIPAA compliant, ensuring strict data and security protocols.
User-Centric Design
Designed with user in mind, HerLens is accessible and easy to use for any healthcare workers.
Optimizing Documented VIA Methods
Maintaining VIA test data collection, keeping processes familiar for healthcare workers.
Prioritizing pre- and post-test images to uphold screening integrity and enhance accuracy with technology.
Enriching the diagnostic process with detailed observations directly on images, facilitating deeper understanding of conditions.
Maintaining VIA test data, collection, keeping processes familiar for healthcare workers.
AI Interpretation as Your Diagnostic Partner
Blending AI precision with health workers’ expertise by presenting AI results for initial insight, then empowering the health worker to make the ultimate diagnostic call.
Leveraging over 1200 VIA test images, HerLens’s AI has been finely tuned to achieve 90% accuracy.
Utilizing image classification, comparing VIA test images to learned cervical patterns for diagnosis.
Identifies VIA test matches and quantifies confidence with percentages for diagnostic insights.
One Application for A More Sustainable Impact
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1. Enter Patient Data
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2. Capture Cervical Pictures
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3. Obtain AI Interpretation
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4. Annotate The Pictures
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5. Provide Final Diagnosis
Only enter patient’s name and age. Add patient's reproductive health details if necessary.
Collaborative Research with Experts
Prof. Dr. dr. Laila Nuranna, Sp.OG(K) Onk
Prof. Dr. dr. Hariyono Winarto, Sp.OG(K) Onk
Dr. dr. Gatot Purwoto, Sp.OG(K) Onk
Dr. dr. Fitriyadi Kusuma, Sp.OG(K) Onk
Dr. dr. Tofan Widya Utami, Sp.OG(K) Onk
Media Spotlight on HerLens
HerLens is a transformative step towards early detection and intervention.
There is also an iOS app called HerLens that utilizes machine learning to support health workers in interpreting more accurate cervical cancer screening results.
Supported by experts in the field, including gynecology-oncology specialists from Cipto Mangunkusumo Hospital and the Female Cancer Program of the Faculty of Medicine, University of Indonesia.
They have designed apps to support everything from health to entrepreneurship.
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