Background: Patient portal use could help improve the care and health outcomes of patients with diabetes owing to functionalities, such as appointment booking, electronic messaging (e-messaging), and ...
Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review
Background: Timely identification of patients at a high risk of clinical deterioration is key to prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital signs–based ...
Use of Mobile Technologies for Smoking Cessation Among Smokers and Former Smokers: Systematic Review
Use of Mobile Technologies for Smoking Cessation Among Smokers and Former Smok ...
Citation Please cite as: Clegg KA Shoggoths, Sycophancy, Psychosis, Oh My: Rethinking Large Language Model Use and Safety J Med Internet Res 2025;27:e87367 doi: 10.2196/87367 PMID: 41252530 PMCID: ...
Facing Health AI Assistants ...
Background: More than one in eight people potentially live with a mental health disorder, yet fewer than half receive treatment. Poor mental health awareness may contribute to this treatment gap, and ...
Background: Prevalence of diabetes has steadily increased over the last few decades with 1.5 million deaths reported in 2012 alone. Traditionally, analyzing patients with diabetes has remained a ...
Background: Evidence suggests that the COVID-19 pandemic has generally increased levels of stress and depression among the public. However, the impact on college students in the United States has not ...
Background: The Internet is increasingly used as a medium for the delivery of interventions designed to promote health behavior change. However, reviews of these interventions to date have not ...
Background: Telemonitoring (TM) can improve heart failure (HF) outcomes by facilitating patient self-care and clinical decisions. The Medly program enables patients to use a mobile phone to record ...
Background: Artificial intelligence chatbot research has focused on technical advances in natural language processing and validating the effectiveness of human-machine conversations in specific ...
AI-Quantified Breast Arterial Calcification Can Predict Heart Disease Risk From Mammogra ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results