Artificial intelligence (AI) has advanced significantly in recent decades, impacting sectors such as medicine, education, and entertainment. In contrast, natural intelligence (NI) is the result of over a billion years of evolution, culminating in the Homo sapiens brain approximately one hundred thousand years ago. This development has enabled the creation of a culture of accumulated knowledge, facilitating technological and scientific advancements. The combination of AI and NI holds the promise of overcoming cognitive limitations and addressing complex problems, provided it is managed ethically. Key areas of this integration include cognitive augmentation, health, education, resolution of global challenges, redefinition of NI boundaries, and subsequent ethical challenges. While both NI and AI share learning and adaptation capabilities, human intelligence is distinguished by consciousness, emotion, and creativity, facets that AI has yet to fully replicate. The future of this interaction will depend on proper management that allows for the coexistence and mutual benefit of humans and machines.
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BMC Psychol
March 2025
Department of Sport Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Emotional intelligence (EI) is a determinant of athletic performance. Since each sport has its own psychological requirements, individual EI dimensions could have different relevance for athletic performance. This study investigated EI variations among athletes participating in 48 different sports, considering the specific emotional challenges faced by athletes in competitive sports using the appraisal theory of emotions.
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March 2025
School of Nursing, Beijing University of Chinese Medicine, Beijing, China.
Background: Artificial intelligence (AI) has shown immense potential in the field of medicine, but its actual effectiveness and safety still need to be validated through clinical trials. Currently, the research themes, methodologies, and development trends of AI-related clinical trials remain unclear, and further exploration of these studies will be crucial for uncovering AI's practical application potential and promoting its broader adoption in clinical settings.
Objective: To analyze the current status, hotspots, and trends of published clinical research on AI applications.
BMC Public Health
March 2025
Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, 13347, Germany.
Background: Electronic personal health records (ePHRs) play a key role in the digitalization of healthcare, but older adults, often less familiar with digital tools, face access challenges. This study assesses the effects of an interactive, microlearning-based e-learning platform on improving older adults' ePHR competencies.
Methods: To examine the effects of e-learning platform use on competencies, a pilot trial was conducted with two study groups.
Sci Rep
March 2025
School of Computer and Artificial Intelligence (School of Software), Huaihua University, Huaihua, 418000, China.
Traffic flow is the most direct indicator of traffic conditions, and accurate prediction of traffic flow is a key challenge for scholars in the field of intelligent transportation. However, traffic flow displays significant nonlinearity, dynamic changes, spatiotemporal dependencies, and most existing methods overlook the influence of road topology on the spatiotemporal properties of traffic flow, creating substantial challenges for traffic flow prediction. This paper proposes a graph convolutional traffic flow prediction model based on adaptive spatiotemporal attention.
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March 2025
Symbiosis Institute of Technology, Symbiosis International Deemed University, Pune, India.
Deception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects. Traditional lie detector tests (polygraphs) have been widely used but remain controversial due to scientific, ethical, and practical concerns.
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