---
title: Streamlining Clinical Trials with Autopilot | AI-Powered Data Analysis & Reporting | SAS
---

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## Autopilot

Autopilot, powered by AI/Deep Learning algorithms trained on historical clinical trial data, analyzes Study Protocol, Statistical Analysis Plan, patient data, and metadata to automatically generate SAS® programs, and create reports for a specific target submission task. These algorithms learn on an ongoing basis, build upon the knowledge graphs and keep getting better over time.

Benefits of Using Autopilot:

- **Increased Efficiency:** Automating manual tasks saves time and resources, allowing researchers to focus on more complex aspects of clinical trials.

- **Improved Accuracy:** The AI-powered approach reduces human error in coding and analysis, leading to more reliable results.

- **Consistency and Compliance:** Autopilot ensures reports adhere to required guidelines and submission standards, reducing the risk of delays or rejection.

- **Faster Innovation: **By streamlining data analysis and reporting, Autopilot can accelerate the pace of clinical research and drug development.

Overall, Autopilot offers a powerful solution for streamlining clinical trial data analysis and reporting. Its AI/Deep Learning capabilities provide continuous improvement, making it a valuable tool for researchers and sponsors to improve the efficiency and accuracy of their clinical research endeavors.

 

 

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