EGUIDE:
Researchers have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more quickly and accurately than standard approaches. The model was able to accurately reclassify 1 in 3 patients with chest pain based on heart attack risk. Download the article to read more.
EGUIDE:
As CFOs prioritize increasing profitability and invest in technology and revenue cycle management, providers are excited about implementing automated technologies in this area. Read more about it in this eGuide.
EGUIDE:
Health IT analytics and artificial intelligence experts say that healthcare organizations should focus on AI governance, transparency, and collaboration in 2024.
EGUIDE:
Researchers presenting at this year's SNMMI Annual Meeting demonstrated that a computational model can accurately identify four subtypes of Alzheimer's disease, which may help generate insights into the condition's underlying biology and personalize future treatment methods. Download the article to know more.
EZINE:
In this week's Computer Weekly, we look at the technologies needed to support deep learning and AI applications in your organisation. We hear about Southern Water's data management overhaul and the benefits achieved from centralising its data team. And we examine best practice in managing large-scale Docker implementations. Read the issue now.
EGUIDE:
As challenges persist, half of healthcare leaders plan to invest in new revenue cycle management technology in the next 12 to 18 months. Read more about it in this eGuide.
EGUIDE:
Ransomware is one of the most common attacks used to hold data hostage, especially in healthcare, and that helped increase the use of digital currencies like Bitcoin. In this e-guide, learn how to defend against threats like ransomware and cryptojacking and how deception technology can help.
EGUIDE:
AI driven by healthcare's rich data, coupled with streams of user-specific data gathered by IoT, can enable better predictive analytics, enhanced outcomes, faster detection of illness and heightened patient self-awareness. Download a copy of this E-Guide to learn more about IoT use cases in healthcare.
