Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Passwords play a huge role in how you stay safe online. They protect your accounts, devices and money. Still, many people pick logins that criminals can guess in seconds. The latest NordPass report ...

Abstract: In the digital age, machine learning, essentially an artificial intelligence subfield, has garnered much attention as a crucial part of modernization solutions. To better understand the most ...

Background and objectives: Sleep disorders (SD) and stroke have long been health concerns. Sleep disorders are known to be a risk factor for stroke, and in recent years it has also been shown that the ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the importance of performing ...

Machine vision is a collection of technologies that give automated equipment a high-level understanding of the immediate environment from images. Without machine vision software, digital images would ...

Abstract: People affected by cancer are at an elevated risk of cardiovascular disease (CVD)-associated morbidity and mortality; the reverse association is also substantially evident. This ...

Machine Learning is a method of teaching computers to find patterns in data and make predictions without being explicitly programmed for every scenario. Think of it this way: Traditional programming: ...