Sign in to confirm you’re not a bot
This helps protect our community. Learn more
Comments are turned off. Learn more
These chapters are auto-generated

Intro

0:00

Microsoft Health & Life Sciences Cloud and Data Live Lab (Classroom) Day 1

1:43

Microsoft Cloud for Healthcare Introducing Azure Healthcare AP

1:54

How are medical images transmitted today?

3:00

Standardization Intro to DICOM

5:20

How are DICOM images transmitted?

8:12

Microsoft's DICOM medical imaging capabilities Microsoft offers both Pasand OSS capabilities to enable solutioning for numbers DICOM use cases known today as an interoperable solution set capable of unlocking innovation

12:16

DICOM service within Azure Healthcare APIs Microsoft's DICOM Service enables imaging data to securely persist in the Microsoft cloud

14:01

Medical Imaging and DICOM Microsoft has the building blocks needed to build end-to-end solutions for medical imaging scenarios in the cloud with connected patient cate on FHIR

19:22

DICOM Cast | Reference Architecture

20:59

Microsoft's Medical Imaging Capabilities Synchronizing the imaging metadata from DICOM Object to a EHR data of a Patient via DICOM Cast

22:59

Medical Imaging & DICOM Role and impact

27:23

How can MS solutions enable medical imaging in the cloud?

28:49

Use Case #1 Cancer journey DICOM data for Query Cohort Creation and Tracking

29:30

Radiology Images & Microsoft Medical Imaging Resources Cohort Creation and Tracking

31:06

Use Case #1 Сuration and discovery

32:07

Use Case #2 Create Al/ML model is a classifier for cancer prediction on incoming Radiology and DP images

34:26

Use Case #2 Image Classifier

37:10
Azure Health Data Services - Medical Imaging & DICOM
55Likes
4,346Views
2022May 31
This is the fourth video in a five-part training series on Microsoft Azure Heath Data Services and Interoperability in the cloud. This module is focused on Microsoft’s Azure Health Data Services DICOM service. The discussion is centered upon standardization and transmission of medical imaging, the OSS and PaaS solutions available from Microsoft, enabling imagine data for secondary use through AI/ML, and use cases for improving patient outcomes. #Azure #Microsoft #Healthcare

Follow along using the transcript.

Microsoft Azure

341K subscribers