Filter by input type
Select all
News
Pages
Events
Filter by category
Select all
AI ANALYTICS
Mobile Apps and Internet of Things
Advancement of science
big data
Connected communities
Coronavirus
Courses and training
DIAGNOSIS
Initial Editorial
Editorials
A world in the cloud
Events
Infographics
Artificial Intelligence and Science
IoT Apps
News
Digital platforms
Social networks
Review of scientific publications
Course Summary
Synopsis of essay
Overview of reference frames
Synopsis of recent publications
Use of Digital Platforms
Filter by input type
Select all
News
Pages
Events
Filter by category
Select all
AI ANALYTICS
Mobile Apps and Internet of Things
Advancement of science
big data
Connected communities
Coronavirus
Courses and training
DIAGNOSIS
Initial Editorial
Editorials
A world in the cloud
Events
Infographics
Artificial Intelligence and Science
IoT Apps
News
Digital platforms
Social networks
Review of scientific publications
Course Summary
Synopsis of essay
Overview of reference frames
Synopsis of recent publications
Use of Digital Platforms
Microsoft bets on Artificial Intelligence in Digital Health

The company is interested in providing advances in technology development to innovate and improve the quality of public health services.

Microsoft has been dedicated to developing systems that are capable of adapting to the requirements that Digital Health demands through its technologies and the innovation of its processes.

The company's goal is to interact with platforms that contain software to provide medical care to anyone, anywhere and at any time.

That is why the management of Artificial Intelligence and data storage is considered suitable to turn the patient's experience into a reliable and safe path.

It also has the objective of making the patient a key piece of clinical care and accompanying him at all times so that he can make his own decisions about his illnesses and control for himself any situation.

Microsoft Azure and Dynamics 365, online services that are managed by the cloud, provide information to update the medical care of patients, as well as tools for health professionals.

Patients have access to virtual sections dedicated to different life situations and different symptoms, such as pain management, rehabilitation, mental health, and weight management.

AI algorithms, based on machine learning, are then used to monitor results, and detect and predict problems automatically, so that health professionals can adjust their treatment appropriately, based on evidence and on individual needs.

Thus, each treatment that is applied to Digital Health will have the purpose of being a reference to guarantee people's satisfaction in terms of how they interact with the technologies that take care of their stability and physical and mental balance.

Outstanding news

News by country

Share

Digital Health in the world

  • — Science Brief: Omicron (B.1.1.529) Variant/CDC updates
    See more
  • —Coronavirus resource center/Johns Hopkins
    See more
  • — Epidemiological tracing of COVID-19 contacts / Johns Hopkins Course
    See more
  • — SARS-CoV-2 infection behavior / FCS calculator
    See more
  • — Omicron SARS-CoV-2 variant: a new chapter in the COVID-19 pandemic/ Article The Lancet
    See more
  • —Genomic Epidemiology Tracker/GISAID
    See more
  • — Mexican Genomic Surveillance Consortium
    See more
Secured By miniOrange