| aws-samples/amazon-textract-textractor |
313 |
|
0 |
23 |
over 2 years ago |
32 |
October 23, 2023 |
68 |
apache-2.0 |
Jupyter Notebook |
| Analyze documents with Amazon Textract and generate output in multiple formats. |
| aws-samples/medical-transcription-analysis |
55 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
mit-0 |
JavaScript |
| Medical Transcription Analysis (MTA) demonstrates how the integration of Amazon Comprehend Medical and Amazon Transcribe Medical can be used to transcribe audio data, extract key medical components and tag the data to their corresponding entities. Automating the medical transcription and comprehension process makes it easier for health care professionals to focus on patient care. |
| aws-samples/amazon-comprehend-medical-fhir-integration |
43 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit-0 |
Java |
| Workshop demonstrating the use of Amazon Comprehend Medical to extract clinical entities from unstructured text and map them to FHIR resources. |
| darwaishx/textractor |
15 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
|
Python |
| Analyze documents with Amazon Textract and generate output in multiple formats |
| aws-samples/amazon-comprehend-medical-image-deidentification |
11 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| De-identify medical images with the help of Amazon Comprehend Medical and Rekognition. |
