Round 1 Winners!
Proof of Usefulness Report

DxSure Ltd.

Analysis completed on 3/9/2026

+18.29
Proof of Usefulness Score
You're In Business

While the project addresses a highly relevant medical diagnostics problem, the submission contains severe red flags. Claims such as 'everyone' for audience reach and 'most people have used my product' for traction are absurd and completely unsubstantiated. The technology stack only lists 'Internet' and lacks any demonstrable evidence of the claimed AI or deep learning implementations, placing the actual verifiable scale well below calibration baselines.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+7.50
Audience Reach Impact+1.00
Technical Innovation+2.25
Evidence Of Traction+1.25
Market Timing Relevance+7.00
Functional Completeness+0.25
Subtotal+19.25
Usefulness Multiplierx0.95
Final Score+18

Project Details

Project URL
Description
Medical imaging based diagnosis is a time-sensitive and complex process, often relying on diverse, high-volume datasets such as MRI scans, large slide images, and other ancillary diagnostics like biopsy slides. Current diagnostic procedures are prone to false positives and delays. Furthermore, many AI-driven diagnostic solutions aren’t relied upon by clinicians which hinders their widespread adoption in clinical settings. DxSure is working to provide an AI-powered plugin that enhances existing diagnostic tools by analysing multimodal medical data, including MRI and whole-slide images, accelerating healthcare professionals’ ability to deliver accurate, explainable diagnoses. Our solution is built to integrate advanced AI, deep learning, explainability frameworks, and privacy-preserving techniques to improve diagnostic precision, support clinical decision-making, and build trust in AI-assisted healthcare. Our vision is to make medical diagnostics accessible, reliable, and trustworthy for healthcare providers worldwide, improving patient outcomes and healthcare efficiency.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline