All Research Sponsored By:XtelligentMedia Healthcare
-
ML Model Outperforms Standard Methods for Detecting Heart Attacks
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.
-
Trust Emerges as Cybersecurity Issue for 42% of Security Decision-Makers
With cyberattacks on the rise, trust in teams and technology is crucial. However, 42% of security leaders see a trust deficit as their biggest hurdle, a new survey showed. Some trust is also misplaced, with 66% of security leaders trusting employees to prevent cyberattacks more than their own teams. Download the article to read more.
-
Back to the Basics, Other Payment Integrity Strategies Post-PHE
Fraud in healthcare isn't as black and white as in other industries, so providers need a comprehensive payment integrity strategy after the COVID-19 public health emergency. The back-to-the-basics approach has become a good choice after the expiration of the PHE. Download the article to read more.
-
America's Amphetamine Problem, Beyond the Pharmaceutical Supply Chain
Drugs used to treat ADHD have been lacking for months now, leading to problems with access to prescription amphetamines and creating questions about the cause of the massive shortage. Download the article to know more.
-
Personalized Computational Approach Identifies Four Alzheimer's Subtypes
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.