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Healthcare#Machine Learning🏛️ OfficialAnalyzed: Dec 24, 2025 11:10

Qbtech Leverages AWS SageMaker AI to Streamline ADHD Diagnosis

Published:Dec 23, 2025 17:11
1 min read
AWS ML

Analysis

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.
Reference

“This new solution reduced their feature engineering time from weeks to hours, while maintaining the high clinical standards required by healthcare providers.”

PermalinkAWS ML
Technology#AI Development📝 BlogAnalyzed: Dec 29, 2025 07:29

Edutainment for AI and AWS PartyRock with Mike Miller - #661

Published:Dec 18, 2023 16:46
1 min read
Practical AI

Analysis

This article from Practical AI discusses AWS's "edutainment" products, focusing on an interview with Mike Miller, a director at AWS. The primary focus is on AWS PartyRock, a no-code generative AI app builder. The article highlights PartyRock's ease of use in creating AI applications by chaining prompts and linking widgets. It also mentions previous educational tools like DeepLens, DeepRacer, and DeepComposer, showcasing AWS's commitment to developer education and entertainment. The article provides a concise overview of the discussed topics and directs readers to the show notes for more information.
Reference

“In our conversation with Mike, we explore AWS PartyRock, a no-code generative AI app builder that allows users to easily create fun and shareable AI applications by selecting a model, chaining prompts together, and linking different text, image, and chatbot widgets together.”

PermalinkPractical AI