Clinical Reviewer for Cervical Image Validation

Volunteer for a startup using AI to save lives from cervical cancer! 🩺MednTech provides an Android AI tool that analyzes cervical images to support frontline screening decisions and improve health outcomes for women in low-resource settings.Cervical cancer is preventable, yet it claimed 350,000 lives in 2022—94% of which occurred in low- and middle-income countries. In sub-Saharan Africa, it remains the leading cause of cancer death among women, yet screening rates are as low as 14% due to a lack of infrastructure and trained providers. While visual inspection is the WHO-recommended screening method, its interpretation is highly subjective and inconsistent, leaving frontline workers without the necessary quality assurance to make life-saving decisions at scale.MednTech addresses this crisis through CerviScanner, an AI-based diagnostic support tool that embeds expert-level computer vision directly into the existing clinical workfl’ow. Using a standard Android smartphone, frontline health workers can capture cervical images and receive real-time classification and confidence scores without the need for specialized labs or onsite specialists. Built on locally collected, expert-labeled data, the app aligns with national protocols and flags uncertain cases to ensure clinicians remain in control of the final diagnosis. By providing objective, AI-assisted feedback where it is needed most, CerviScanner empowers healthcare providers to deliver high-quality, accessible screening that can prevent thousands of unnecessary deaths.Role (Volunteer, unpaid): Clinical Reviewer for Cervical Image ValidationRole Description: We are seeking an OB-GYN, gynecologist, or clinician with strong expertise in Visual Inspection with Acetic Acid (VIA) to support the clinical validation of cervical images.As part of our AI development work, MednTech is generating synthetic cervical images to strengthen model training and address limitations related to small and imbalanced datasets. Before these images are used in the AI training pipeline, we need expert clinical review to assess whether they are anatomically plausible, visually realistic, and clinically consistent with VIA-positive or VIA-negative findings.This role is essential to ensuring that our AI work remains clinically grounded, safe, and relevant to real-world screening contexts.Key responsibilitiesReview batches of cervical images, including synthetic and real-world VIA imagesAssess whether images are clinically plausible and consistent with VIA-based interpretationIdentify images that appear unrealistic, misleading, anatomically inaccurate, or clinically unusableClassify or comment on images based on VIA-related features, including acetowhite changes, lesion appearance, transformation zone visibility, and image qualityProvide structured feedback to guide improvement of the synthetic image generation pipelineRequired expertiseMedical doctor, OB-GYN, gynecologist, or clinician with hands-on experience in cervical cancer screeningStrong familiarity with Visual Inspection with Acetic Acid (VIA)Ability to interpret cervical images and distinguish clinically meaningful VIA findings from poor-quality or unrealistic imagesComfort providing structured feedback on image realism, clinical relevance, and usabilityPreferred qualificationsExperience training healthcare providers in VIA or cervical cancer screeningExperience reviewing cervical images for clinical, research, or quality assurance purposesFamiliarity with cervical cancer screening programs in low-resource or primary care settingsTime Commitment: Volunteer 4-6 hours per week for 3-5 months remotely 💻If you want to make change happen, apply to volunteer with MednTech now!