adding ta4h references

Author: aahill

articles/cognitive-services/language-service/index.yml

@@ -53,7 +53,10 @@ conceptualContent:
           text: Custom Named Entity Recognition (custom NER)
           url:  custom-named-entity-recognition/overview.md
         - itemType: overview
-          text: Text Analytics for health
+          text: Text analytics for health
+          url:  text-analytics-for-health/overview.md
+        - itemType: overview
+          text: Custom text analytics for health
           url:  text-analytics-for-health/overview.md
     - title: Summarize text-based content
       summary: Summarize lengthy documents and conversation transcripts.

articles/cognitive-services/language-service/overview.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: overview
-ms.date: 12/09/2022
+ms.date: 04/14/2023
 ms.author: aahi
 ms.custom: ignite-fall-2021, event-tier1-build-2022
 ---
@@ -182,6 +182,17 @@ The Language service also provides several new features as well, which can eithe
    :::column-end:::
 :::row-end:::
 
+### Custom text analytics for health
+
+:::row:::
+   :::column span="":::
+      :::image type="content" source="text-analytics-for-health/media/call-api/health-named-entity-recognition.png" alt-text="A screenshot of a custom text analytics for health example." lightbox="text-analytics-for-health/media/call-api/health-named-entity-recognition.png":::
+   :::column-end:::
+   :::column span="":::
+      [Custom text analytics for health](./custom-text-analytics-for-health/overview.md) is a custom feature that extract healthcare specific entities from unstructured text, using a model you create.  
+   :::column-end:::
+:::row-end:::
+
 ## Which Language service feature should I use?
 
 This section will help you decide which Language service feature you should use for your application:
@@ -196,7 +207,8 @@ This section will help you decide which Language service feature you should use
 | Summarize long chunks of text or conversations. | Unstructured text, <br> transcribed conversations. | [Summarization](./summarization/overview.md) | | 
 | Disambiguate entities and get links to Wikipedia. | Unstructured text | [Entity linking](./entity-linking/overview.md) | | 
 | Classify documents into one or more categories. | Unstructured text | [Custom text classification](./custom-text-classification/overview.md) | ✓|
-| Extract medical information from clinical/medical documents. | Unstructured text | [Text analytics for health](./text-analytics-for-health/overview.md) | |
+| Extract medical information from clinical/medical documents, without building a model. | Unstructured text | [Text analytics for health](./text-analytics-for-health/overview.md) | |
+| Extract medical information from clinical/medical documents using a model that's trained on your data. | Unstructured text | [Custom text analytics for health](./custom-text-analytics-for-health/overview.md) | |
 | Build an conversational application that responds to user inputs. | Unstructured user inputs | [Question answering](./question-answering/overview.md) | ✓ |
 | Detect the language that a text was written in. | Unstructured text | [Language detection](./language-detection/overview.md) | | 
 | Predict the intention of user inputs and extract information from them. | Unstructured user inputs | [Conversational language understanding](./conversational-language-understanding/overview.md) | ✓ |

articles/cognitive-services/language-service/whats-new.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: whats-new
-ms.date: 03/09/2023
+ms.date: 04/14/2023
 ms.author: aahi
 ms.custom: ignite-fall-2021, event-tier1-build-2022
 ---
@@ -19,6 +19,7 @@ Azure Cognitive Service for Language is updated on an ongoing basis. To stay up-
 
 ## April 2023
 
+* [Custom Text analytics for health](./custom-text-analytics-for-health/overview.md) is available in public preview, which enables you to build custom AI models to extract healthcare specific entities from unstructured text
 * You can now use Azure OpenAI to automatically label or generate data during authoring. Learn more with the links below. 
     * Auto-label your documents in [Custom text classification](./custom-text-classification/how-to/use-autolabeling.md) or [Custom named entity recognition](./custom-named-entity-recognition/how-to/use-autolabeling.md).
     * Generate suggested utterances in [Conversational language understanding](./conversational-language-understanding/how-to/tag-utterances.md#suggest-utterances-with-azure-openai).