Qbtech Leverages AWS SageMaker AI to Streamline ADHD Diagnosis

This article highlights how Qbtech improved its ADHD diagnosis process by adopting Amazon SageMaker AI and AWS Glue. The focus is on the efficiency gains achieved in feature engineering, reducing the time from weeks to hours. This improvement allows Qbtech to accelerate model development and deployment while maintaining clinical standards. The article emphasizes the benefits of using fully managed services like SageMaker and serverless data integration with AWS Glue. However, the article lacks specific details about the AI model itself, the data used for training, and the specific clinical standards being maintained. A deeper dive into these aspects would provide a more comprehensive understanding of the solution's impact.

• •Amazon SageMaker AI and AWS Glue can significantly reduce feature engineering time in healthcare ML applications.
• •Fully managed services streamline ML workflows and accelerate model deployment.
• •Maintaining clinical standards is crucial when implementing AI solutions in healthcare.