We’ve engineered our process to minimize inaccuracies when using AI, knowing that a single-layered approach isn’t enough to address all potential errors. Our strategy is comprehensive, combining several advanced techniques to ensure reliable results.

Clinials uses a multi-layered appraoch. We employ specialized AI algorithms tailored to read and interpret protocol PDFs precisely. These algorithms are supplemented by self-reflective AI techniques and incorporates the latest in prompt engineering research. This ensures the extracted data remains faithful to the original source, captured word for word.

We continuously run automated tests on our AI systems to ensure consistency and reliability, even as algorithms, models, and prompts are updated.

Clinical trial protocols come in diverse formats and are often lengthy, posing challenges for many standard tools. These tools can misinterpret or omit details due to how protocols are structured, which often results in fragmented data or misaligned summaries. Our AI-based algorithms are specifically designed to handle these complexities by carefully processing the entire document without introducing errors.

We recognize that some protocols contain internal inconsistencies or conflicting information. To manage this, our system cross-references details throughout the document, prioritizing content from the most relevant and specific sections, like the “inclusions” or “exclusions” sections, when available.

Despite our sophisticated AI, we still advocate for a “Human-on-the-Loop” review. This final check ensures that extracted data is accurate and ready for downstream use, maintaining a high standard of quality.

Our content generation process leverages the verified digital protocol, minimizing risks of AI hallucinations. Additionally, our AI employs self-review mechanisms, drawing on trusted external data to validate the content and ensure precision.