This work explores how increasingly capable AI agents may generate the perception of deeper relationships with users, especially as AI becomes more personalised and agentic.
This study presents, for the first time in GBD, a quantification of the mean age at the time of suicide death, alongside comprehensive estimates of the burden of suicide throughout the world.
It is argued that social scientists can address many of these limitations of Generative AI by creating open-source infrastructure for research on human behavior, not only to ensure broad access to high-quality research tools, but also because the progress of AI will require deeper understanding of the social forces that guide human behavior.
GPT-4 did not appropriately model the demographic diversity of medical conditions, consistently producing clinical vignettes that stereotype demographic presentations, highlighting the urgent need for comprehensive and transparent bias assessments of LLM tools such as GPT-4 for intended use cases before they are integrated into clinical care.
While patients were generally supportive of AI-enabled health care facilities and recognized the potential of AI, they preferred explainable AI systems and physician-led decision-making and attitudes varied significantly by sociodemographic characteristics.
The importance of addressing the digital health divide is highlighted to ensure that as digital technologies' inevitable presence grows, it does not leave those who could benefit most from innovative health technology behind.
Findings highlight the need for public health interventions to address these social factors and improve health outcomes in older adults and identify longer follow-up, female sex, validated social network indices, adjustments for cognitive function, and study quality as significant predictors of mortality risks.
The Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR.
This paper critically examines emerging connections between mental health and lifestyle factors such as sleep, diet, and exercise and underscores the importance of preventive approaches, promoting mental health literacy, reducing stigma, and fostering resilience through mindfulness, cognitive behavioral techniques, and social support systems.
The proposed Human-Centric Cybersecurity Framework integrates psychological resilience, adaptive training, socio-technical approach, and ethical AI principles, and outlines practical strategies to enhance cybersecurity awareness, reduce vulnerabilities, and promote organizational compliance.
The findings suggest that clinicians should provide anticipatory guidance regarding social media use for young adolescents and their parents using longitudinal, cross-lagged structural equation panel models.
BLEnD, a hand-crafted benchmark designed to evaluate LLMs' everyday knowledge across diverse cultures and languages, is introduced and shows that LLMs perform better for cultures that are highly represented online, with a maximum 57.34% difference in GPT-4, the best-performing model, in the short-answer format.
A taxonomy for risks and benefits of personalized LLMs is developed and the need for normative decisions on what are acceptable bounds of personalization is discussed, to enable users to benefit from personalized alignment while safeguarding against harmful impacts for individuals and society.
Temporal and geographical comparisons of suicide mortality in pre-adolescents, adolescents, and young adults from 1990 to 2020 or the most recent available year are monitored, showing relevant geographical differences.
It is suggested that US youth nicotine pouch use and dual use with e-cigarettes increased from 2023 to 2024, and surveillance, regulation, and prevention efforts addressing pediatric nicotine use are warranted.
It is argued that positionality statements may be valuable but not as markers of methodological rigour; their content should be at the discretion of authors and methodologically consistent.
CVQA is constructed, a new Culturally-diverse multilingual Visual Question Answering benchmark, designed to cover a rich set of languages and cultures, where native speakers and cultural experts in the data collection process and can serve as a probing evaluation suite for assessing the cultural capability and bias of multimodal models.
The findings reveal that self-efficacy plays a crucial role in shaping attitudes towards AI, with higher levels of self-efficacy associated with more positive attitudes and enhanced well-being and the need for culturally sensitive design and implementation of AI to ensure responsible development and implementation of AI for diverse populations.
The current work provides a description of the cohort baseline characteristics and outlines the study methodology.
Lower MIRs in socioeconomically developed nations suggest the impact of early detection and treatment access to improve patients’ outcomes and a moderate inverse correlation between MIR and human development index (HDI).
This first attempt to describe major disparities in access to fertility care in the context of the global trend of decreasing growth in the world population, based on a narrative review of the existing literature is presented.
This paper reviews common reproductive events that may be associated with mental ill health, including menstruation, contraception, abortion, sexual dysfunction, hypersexuality, sexual violence, reproductive coercion, infertility and associated gynaecological conditions, and menopause.
SDoHs significantly impact cardiovascular morbidity and death and specific outcomes of patients with cardiovascular disease and policy measures that aim to improve those SDoHs that negatively affect health outcomes hold promise for improving cardiovascular outcomes at individual and population levels.
A structured review of PubMed and Scopus databases and supplementary internet searches resulted in a synthesis of evidence covering multiple countries and healthcare worker populations highlighting links between WPV and poor worker health outcomes, staff turnover, reduced patient safety and medical errors.
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