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Topic : Healthcare

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Healthcare / Cybersecurity / Tips
Time to read6 min
Written By Tatsiana Tsiukhai / May 17, 2022
When Innovation Hurts: IoT Vulnerabilities in Healthcare
Here are the top four IoT vulnerabilities in healthcare and working scenarios that show how to prevent them. Don’t miss the practical tips on how to make IoT cybersecurity a top priority.
Trends / Healthcare / AI / Innovations / Digital Transformation
Time to read6 min
Written By Vera Solovyova / April 5, 2022
3 Examples of Disruptive Innovation in Healthcare
Medical providers that rely on disruptive innovations are always a step ahead of their competitors. But what is disruptive innovation in the healthcare industry? What technologies facilitate healthcare disruption? What benefits do these technologies have? Find out in our recent blog article.
Trends / Healthcare / AI / 3D printing
Time to read6 min
Written By Tatsiana Tsiukhai / March 3, 2022
Current Trends in Healthcare: From All-Round Telehealth to Smart Pet Care
Lockdowns brought a surge in emerging technologies like AI, 5G, edge computing, wearable technology, robots, and more. Here are the key healthcare technology trends driving the market in 2022. Current trends in healthcare include telehealth, multifacet 3D printing, and smart pet care.
Healthcare / Cybersecurity / Tips / Connected Health
Time to read4 min
Written By Tatsiana Tsiukhai / May 21, 2021
Connected Health: How to Secure Booming Medical Devices for Remote Patient Monitoring
Remote patient monitoring devices remain a major target for cyberattacks. Here are the approaches and tactics that help you secure healthcare data.
Healthcare / Edge Computing / AI / Connected Health / Market Overview
Time to read5 min
Written By Maryia Aukhimovich / April 6, 2021
Business Opportunities in Health IoT: Edge Computing and AI for Connected Devices
IoT business opportunities in healthcare come with emerging virtual care. Let’s see how AI and edge computing help augment telehealth services with health data and what the market expects from digital health companies. 
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Healthcare / Robotics / Use Cases
Time to read6 min
Written By Nadejda Alkhaldi / February 9, 2021
How Robotic Process Automation Helps the Healthcare Sector Ease the Pandemic-Related Stress
Check out working examples of robotic process automation (RPA) in the healthcare industry. Learn how healthcare automation projects help ease the pandemic-related stress, reduce physician burnout, and help HR.
Wearables / Healthcare / Artificial Intelligence
Time to read5 min
Written By Vitaly Gonkov / December 16, 2020
5 Ways AI-Powered Wearable Devices are Rocking the Healthcare Industry
In the times of COVID-19, AI-powered wearable devices can help hospitals serve more patients while keeping healthcare delivery costs down. Here’s how.
Healthcare / Machine Learning / Artificial Intelligence
Time to read9 min
Written By Nadejda Alkhaldi / October 28, 2020
A Rundown of AI-driven Medical Imaging, and How We Can Increase Its Acceptance and Adoption
What does the future of AI-based medical imaging look like? Is it true that smart algorithms now outperform human radiologists? What prevents Artificial Intelligence from going mainstream in healthcare? These are just a few of the questions we cover in our latest blog post.
IoT / Wearables / Healthcare
Time to read7 min
Written By Vera Solovyova / September 1, 2020
IoT for Seniors: How Technology Improves Quality of Life for the Elderly
IoT solutions for senior citizens help the elderly monitor health conditions at home, interact with the outside world, and live independently longer. Here’s how.
IoT / Technology / Healthcare
Time to read9 min
Written By Nadejda Alkhaldi / August 4, 2020
How Has Telehealth Evolved During the Pandemic, and What Comes Next?
Amid the coronavirus pandemic, telehealth has become a reasonable substitute for regular doctor-patient communication. Here’s why.
Healthcare / Machine Learning / Artificial Intelligence
Time to read3 min
Written By Eugen Nekhai / July 21, 2020
Machine Learning in Radiology: How to Achieve an Accurate Diagnosis with Limited Training Data
Is it possible to train accurate machine learning models for medical image analysis? Learn about smart capabilities of machine learning in radiology. Check out how to apply machine learning in medical imaging—create solutions with imbalanced datasets.
IoT / Wearables / Healthcare
Time to read5 min
Written By Alex Makarevich / July 2, 2020
Rethinking Remote Patient Monitoring in 2020
The COVID-19 pandemic has completely altered the way patients receive healthcare services. In our latest article, we zoom in on remote patient monitoring (RPM) solutions, explain how these systems work, and identify RPM trends for 2020.
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