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Efficacy of brain stimulation therapies across psychiatric, movement, and cognitive disorders: an umbrella review synthesizing meta-analyses of randomized controlled trials.
EClinicalMedicine
February 2025
Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China.
Background: Brain stimulation therapy (BST) has significant potential in treating psychiatric, movement, and cognitive disorders. Given the high prevalence of comorbidities among these disorders, we conducted an umbrella review to comprehensively assess the efficacy of BSTs in treating the core symptoms across these three categories of disorders.
Methods: We systematically searched for meta-analyses and network meta-analyses of randomized controlled trials with sham controls up to September 25, 2024, from databases including PubMed, PsycINFO, Embase, and the Cochrane Library.
Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain.
PeerJ
January 2025
Anesthesiology and Reanimation, Central Clinical Hospital, Baku, Azerbaijan.
Background: Patients who are informed about the causes, pathophysiology, treatment and prevention of a disease are better able to participate in treatment procedures in the event of illness. Artificial intelligence (AI), which has gained popularity in recent years, is defined as the study of algorithms that provide machines with the ability to reason and perform cognitive functions, including object and word recognition, problem solving and decision making. This study aimed to examine the readability, reliability and quality of responses to frequently asked keywords about low back pain (LBP) given by three different AI-based chatbots (ChatGPT, Perplexity and Gemini), which are popular applications in online information presentation today.
View Article and Find Full Text PDFResponsible Design, Integration, and Use of Generative AI in Mental Health.
JMIR Ment Health
January 2025
The Samueli Initiative for Responsible AI in Medicine, Tel Aviv University, Tel Aviv, Israel.
Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation.
View Article and Find Full Text PDFCan artificial intelligence lower the global sudden cardiac death rate? A narrative review.
J Electrocardiol
January 2025
Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan. Electronic address:
Purpose Of Review: WHO defines SCD as sudden unexpected death either within 1 h of symptom onset (witnessed) or within 24 h of having been observed alive and symptom-free (unwitnessed). Sudden cardiac arrest is a major cause of mortality worldwide, with survival to hospital discharge for hospital cardiac arrest and in-hospital cardiac arrest being only 9.3 % and 21.
View Article and Find Full Text PDFCPJN: News recommendation with a content and popularity joint network.
Neural Netw
January 2025
School of Information Management and Engineering, Shanghai University of Finance and Economics, 200433 Shanghai, PR China. Electronic address:
Users may click on a news because they are interested in its content or because the news contains important information and is very popular. Modeling these two aspects is crucial for accurate news recommendation. Most existing studies focused on capturing users' preferences towards news content, and thus they are limited in investigating in depth users' preferences towards news popularity and independently capturing user content and popularity preferences.
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