Merge pull request #2745 from msakande/healthcare-ai-models-remove-preview-note

Preview note isn't needed in healthcare AI models since they're GA

Author: prmerger-automator[bot]

articles/ai-studio/how-to/healthcare-ai/deploy-cxrreportgen.md

@@ -16,8 +16,6 @@ author: msakande
 
 # How to use CXRReportGen Healthcare AI model to generate grounded findings
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 [!INCLUDE [health-ai-models-meddev-disclaimer](../../includes/health-ai-models-meddev-disclaimer.md)]
 
 In this article, you learn how to deploy CXRReportGen as an online endpoint for real-time inference and issue a basic call to the API. The steps you take are:

articles/ai-studio/how-to/healthcare-ai/deploy-medimageinsight.md

@@ -16,8 +16,6 @@ author: msakande
 
 # How to use MedImageInsight healthcare AI model for medical image embedding generation
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 [!INCLUDE [health-ai-models-meddev-disclaimer](../../includes/health-ai-models-meddev-disclaimer.md)]
 
 In this article, you learn how to deploy MedImageInsight from the model catalog as an online endpoint for real-time inference. You also learn to issue a basic call to the API. The steps you take are:

articles/ai-studio/how-to/healthcare-ai/deploy-medimageparse.md

@@ -16,8 +16,6 @@ author: msakande
 
 # How to use MedImageParse healthcare AI model for segmentation of medical images
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
-
 [!INCLUDE [health-ai-models-meddev-disclaimer](../../includes/health-ai-models-meddev-disclaimer.md)]
 
 In this article, you learn how to deploy MedImageParse as an online endpoint for real-time inference and issue a basic call to the API. The steps you take are:

articles/ai-studio/how-to/healthcare-ai/healthcare-ai-models.md

@@ -16,8 +16,6 @@ author: msakande
 
 # Foundation models for healthcare AI
 
-[!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
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 [!INCLUDE [health-ai-models-meddev-disclaimer](../../includes/health-ai-models-meddev-disclaimer.md)]
 
 In this article, you learn about Microsoft's catalog of multimodal healthcare foundation models. The models were developed in collaboration with Microsoft Research, strategic partners, and leading healthcare institutions for healthcare organizations. Healthcare organizations can use the models to rapidly build and deploy AI solutions tailored to their specific needs, while minimizing the extensive compute and data requirements typically associated with building multimodal models from scratch. The intention isn't for these models to serve as standalone products; rather, they're designed for developers to use as a foundation to build upon. With these healthcare AI models, professionals have the tools they need to harness the full potential of AI to enhance biomedical research, clinical workflows, and ultimately care delivery.