Blog-on-Digital-Transformation

Posts Tagged ‘Healthcare’

Can Japan Win Over COVID-19 with Technology, Automation, and Telemedicine?

December 30, 2021 | 0 Comments | Alex Khizhniak...
Having vaccinated more than 78% of its population, the country invests in digital transformation to get back to the new normal.

The Challenges of Building a Remote Patient Monitoring System

September 30, 2021 | 0 Comments | Diana Maltseva...
With the ongoing pandemic, virtual care can be a savior for medical institutions in terms of productivity and timely treatment.

The Technical Side of Embedding Video Calls into Telehealth Apps

May 1, 2021 | 1 Comment | Sophia Turol...
With telemedicine supporting 70% of consultations during the pandemic, implementing virtual care may require additional effort from medical institutions.

The Pitfalls of Creating Appointment Scheduling Apps for Healthcare

December 31, 2020 | 0 Comments | Alex Khizhniak...
Learn about the challenges medical orgs may face when building telemedicine tools aiming to automate appointment setting for doctors and patients.

What’s Wrong with AI Tools and Devices Preventing COVID-19?

October 29, 2020 | 0 Comments | Alex Khizhniak...
Since the start of the pandemic, new technologies have been developed to help reduce the spread of the infection. However, there are a number of issues.

Cross-Modal Machine Learning as a Way to Prevent Improper Pathology Diagnostics

May 29, 2017 | 0 Comments | Sophia Turol
This blog post explores how cross-modal learning may help to identify good vs. bad medical pathologies, thus improving diagnostics and treatment.

Cloud Foundry for Healthcare: Addressing Networking and Portability

December 14, 2016 | 0 Comments | Victoria Fedzkovich...
An IoT system based on Cloud Foundry serves 100,000+ medical devices across dozens of hospitals/labs. Describing its networking/security model, this post reveals how the system was made portable between OpenStack and AWS.

Identifying Cancer Faster with Distributed TensorFlow on OpenPOWER

November 3, 2016 | 0 Comments | Roger Strukhoff...
A practical study evaluated the efficiency of training a TensorFlow model in a distributed mode for accelerating the analysis of medical images.

Bringing Healthcare Home with the Internet of Things

October 6, 2016 | 0 Comments | Carlo Gutierrez
IoT is making waves across industries from farming to manufacturing. What challenges are met on the road to smart healthcare and how can they be solved?

Recurrent Neural Networks: Classifying Diagnoses with Long Short-Term Memory

September 7, 2016 | 0 Comments | Sophia Turol
Learn about the challenges of training a recurrent neural network, such as vanishing gradients, and ways to address them with long short-term memory.
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