Methodology for Safe and Secure AI in Diabetes Management.

The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution to improve the monitoring and personalization of therapies. However, the integration of such technologies in the clinical setting poses significant challenges related to safety, security, and compliance with sensitive patient data, as well as the potential direct consequences on patient health. This article provides guidance for developers and researchers on identifying and addressing these safety, security, and compliance challenges in AI systems for diabetes management.

A Longitudinal Analysis of Long Working Hours and the Onset of Psychological Distress.

Objectives: There is a paucity of longitudinal studies examining the relationship between working hours and the development of Psychological Distress (PD) among U.S. workers.

Outcomes from 306 consecutive robotic ventral hernia repairs in the community setting.

Robotic assisted laparoscopy is increasingly popular for primary ventral and incisional hernia repair. A variety of robotic techniques have been described. More data is needed to evaluate the indications and benefits of these approaches.

Artificial intelligence as a virtual coach in a cognitive behavioural intervention for perfectionism in young people: A randomised feasibility trial.

Background: We examined the feasibility and outcomes of Artificial Intelligence (AI) as a virtual coach in guided self-help (GSH-AI) compared to pure self-help (PSH).

Method: Participants ( = 85 undergraduate university students; M age = 20.65 years [ = 2.