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HealthImaging module#

Index > HealthImaging

Auto-generated documentation for HealthImaging type annotations stubs module types-aiobotocore-medical-imaging.

How to install#

You can generate type annotations for aioboto3 package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'aioboto3==14.1.0' mypy-boto3-builder
  2. Select aioboto3 AWS SDK.
  3. Add HealthImaging service.
  4. Use provided commands to install generated packages.

From PyPI with pip#

Install types-aioboto3 for HealthImaging service.

# install with aioboto3 type annotations
python -m pip install 'types-aioboto3[medical-imaging]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aioboto3-lite[medical-imaging]'

# standalone installation
python -m pip install types-aiobotocore-medical-imaging

How to uninstall#

python -m pip uninstall -y types-aiobotocore-medical-imaging

Usage#

Code samples can be found in Examples.

HealthImagingClient#

Type annotations and code completion for session.client("medical-imaging") as HealthImagingClient boto3 documentation

# HealthImagingClient usage example

from aioboto3.session import Session

from types_aiobotocore_medical_imaging.client import HealthImagingClient


session = Session()
async with session.client("medical-imaging") as client:
    client: HealthImagingClient

Paginators#

Type annotations and code completion for paginators from session.client("medical-imaging").get_paginator("...").

# ListDICOMImportJobsPaginator usage example

from types_aiobotocore_medical_imaging.paginator import ListDICOMImportJobsPaginator

def get_list_dicom_import_jobs_paginator() -> ListDICOMImportJobsPaginator:
    return client.get_paginator("list_dicom_import_jobs"))

Literals#

Type annotations for literals used in methods and schema.

# DatastoreStatusType usage example

from types_aiobotocore_medical_imaging.literals import DatastoreStatusType

def get_value() -> DatastoreStatusType:
    return "ACTIVE"

Type definitions#

Type annotations for type definitions used in methods and schema.