Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...

Ah, the yellow light. You know, that signal that is supposed to let you know to slow down as you approach the intersection, but makes you speed up instead? You probably take it for granted, but ...

NASHVILLE, Tenn. (WKRN) — A much-needed traffic light has now received the green light in Antioch. Metro Councilmember Joy Styles, who represents Antioch, said it took a lot of work to get done, but ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

The intersection of Dietz Road and Boynton Drive in Catoosa County will be getting a traffic light after years of discussion about it. The intersection has been a point of congestion for a long time, ...

1 San Juan Bautista School of Medicine, Caguas, PR, USA. 2 Independent Researcher, Monmouth County, NJ, USA. There are two types of hemiplegic migraines: sporadic hemiplegic migraine (SHM) and ...

Introduction: Early detection of cognitive decline is essential for preventing dementia progression, yet conventional screening tools such as the Mini-Mental State Examination (MMSE) require trained ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...