EFFECTIVE DATE: FEBRUARY 28, 2026 • THORNEX AI
Thornex AI provides an advanced computational environment for the analysis of clinical and radiological images. Our system utilizes Convolutional Neural Networks (CNN) and Vision Transformers to perform multi-stage processing:
The service is provided "as-is," with continuous updates to the neural architecture to ensure alignment with contemporary medical research.
NON-MEDICAL CLASSIFICATION: Thornex AI is classified as a "Decision Support Tool" and NOT a "Medical Diagnostic Device."
The software does not possess a clinical license to practice medicine. Any probability score generated by the AI is a mathematical inference, not a biological fact. You are strictly mandated to:
In accordance with GDPR and HIPAA compliance frameworks, Thornex AI enforces a Zero-Knowledge architecture:
User images are stripped of metadata (EXIF) upon upload to prevent geolocation or identity leaks. Image data is siloed in highly secure data centers. We do not maintain a permanent link between your biological data and your real-world identity unless explicitly authorized for clinical integration.
The integrity of AI inference relies heavily on input quality. Users are contractually obligated to provide:
Violations of these quality standards may result in "Inconclusive" results, for which the platform bears no liability.
The "Thornex Engine," including its weights, biases, and neural architecture variants, is the exclusive intellectual property of Thornex AI.
Any attempt to probe the API for model inversion, adversarial attacks, or unauthorized scraping of our proprietary datasets will result in immediate termination of access and potential legal action under international cyber-security statutes.
Thornex AI reserves the right to suspend accounts that exhibit patterns of medical misuse or system abuse.
Any disputes arising from the use of this AI platform shall be settled in the competent courts of the jurisdiction where Thornex AI is officially registered, ensuring a neutral and rigorous legal oversight of health-tech operations.