About The Study: AI scribe adoption was associated with modest decreases in total electronic health record time and documentation time and with a modest increase in weekly visit volume.

About The Study: From 2021 to 2024, government and health organizations accounted for about one-tenth of the $336 million in estimated advertising payments made to 11 news websites identified for publishing health misinformation. Noteworthy advertisers included federal health agencies, such as the Centers for Disease Control and Prevention, and pharmaceutical companies, such as Pfizer, although their individual contributions represented a small share of all payments.

About The Study: In this parallel-group randomized clinical trial, the generic tetracyclic antidepressant mirtazapine delivered in routine clinical practice reduced methamphetamine use in adults with methamphetamine use disorder. No unexpected safety concerns delivering mirtazapine in this setting were found; this finding has important clinical implications in the absence of any approved pharmacotherapies for methamphetamine use disorder. 

Researchers at the National Institutes of Health (NIH) have identified a novel, highly potent opioid that shows potential as a therapy for both pain and opioid use disorder. In a study published in Nature, the team observed the new drug’s effect in laboratory animals. They showed that it has high pain-relieving effects without causing respiratory depression, tolerance or other indicators of potential for addiction in humans.

A large multi-site study published in JAMA found that AI-powered ambient documentation technologies, or AI scribes, were associated with modest reductions in clinicians’ EHR use (13 minutes/day) and documentation time (16 minutes/day, ~10%), along with a slight increase in productivity. The benefits were most evident in high-frequency users, and are unlikely to fully explain prior reported improvements in burnout, highlighting the need for further research on how these tools reshape clinical workflows.

Today's most advanced artificial intelligence systems lack such bodily mechanisms and a new study by UCLA Health argues that this has significant implications for how these models behave as well as how safe and trustworthy they can become.