AI Transparency Policy

Cure.Care utilizes advanced large language models (LLMs) to assist our editorial team in drafting medical content. The AI helps summarize complex medical literature, structure articles for readability, and ensure consistency across our encyclopedia.

However, AI is treated as a drafting tool, not an author. It cannot generate final content independently. All AI-generated drafts are clearly labeled internally and routed to our medical board for comprehensive review. For more information on our content pipeline, visit our Health Content Policy.

Every piece of content on Cure.Care undergoes a rigorous two-layer review process. First, a scientific reviewer (PhD) evaluates the factual accuracy of the medical claims. Second, a clinical reviewer (MBBS, MD) verifies the clinical relevance and safety of the information.

AI cannot bypass this review gate. If an AI-generated claim lacks a citation or misinterprets clinical nuance, the human reviewers reject and rewrite the section. Read about our process on the Medical Accuracy Policy page.

While AI is powerful, it has known limitations, including hallucinations (generating false information) and an inability to understand the emotional context of a patient's experience. Cure.Care mitigates these risks by strictly bounding AI inputs to verified medical datasets and enforcing mandatory human fact-checking.

AI is never used to interpret user-uploaded lab reports, analyze symptoms dynamically, or recommend treatments. For a deeper dive into what our AI cannot do, please review our AI Limitations policy.

Cure.Care does not use user-entered health data (such as symptoms, blood pressure logs, or lab results) to train our AI models. Any data you input into our tools is used solely to provide you with an immediate result and is subject to our strict privacy controls.

We adhere to global data protection standards, including India's DPDP Act and GDPR. For full details on how your data is handled, please read our Privacy Policy and Data Protection Policy.

Medical information must be universally applicable, but AI models can sometimes reflect biases present in their training data. Cure.Care actively audits its AI outputs to ensure they are free from demographic, gender, or geographic biases.

Our medical board is composed of diverse healthcare professionals who review content to ensure it is clinically accurate and culturally competent for our global audience, with a specific focus on the Indian healthcare context.

As AI technology evolves, so do the models we use. When we upgrade our underlying AI models, we do not automatically republish old content. Instead, new models are only applied to new articles or during scheduled editorial audits.

This ensures that previously reviewed and approved content remains stable and unaffected by sudden changes in AI behavior. All updates are logged in our internal version control system for audit purposes.

Transparency is a two-way street. If you believe an article on Cure.Care contains inaccurate information, or if you suspect an AI-generated error was missed during review, we encourage you to report it.

You can submit feedback through our Report a Concern page. All reports are reviewed by our editorial team, and necessary corrections are made promptly with a public correction notice appended to the article.

Our use of AI aligns with established healthcare information standards, including those set by the World Health Organization (WHO) and the Medical Council of India (MCI). We ensure that AI does not violate the No Doctor-Patient Relationship boundary.

Furthermore, our AI practices are designed to comply with the upcoming regulatory frameworks surrounding AI in healthcare, ensuring that patient safety and clinical accuracy are never compromised for speed or scale.