This paper reports on the implementation of web-based training in venipuncture as standardizable knowledge transfer. For this purpose, we performed an experimental study with nursing students and medical students.
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Cortex
December 2024
Humboldt-Universität zu Berlin, Berlin School of Mind and Brain, Berlin, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Leipzig, Germany; University Hospital and Faculty of Medicine Leipzig, Clinic for Cognitive Neurology, Leipzig, Germany.
Retrieving words quickly and correctly is an important language competence. Semantic contexts, such as prior naming of categorically related objects, can induce conceptual priming but also lexical-semantic interference, the latter likely due to enhanced competition during lexical selection. In the continuous naming (CN) paradigm, such semantic interference is evident in a linear increase in naming latency with each additional member of a category out of a seemingly random sequence of pictures being named (cumulative semantic interference/CSI effect).
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia.
Objective: We aimed to develop a highly interpretable and effective, machine-learning based risk prediction algorithm to predict in-hospital mortality, intubation and adverse cardiovascular events in patients hospitalised with COVID-19 in Australia (AUS-COVID Score).
Materials And Methods: This prospective study across 21 hospitals included 1714 consecutive patients aged ≥ 18 in their index hospitalization with COVID-19. The dataset was separated into training (80%) and test sets (20%).
Aesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
Nutrients
January 2025
Department of Sports Rehabilitation, Jaeneung University, Incheon 22573, Republic of Korea.
Background/objectives: Adolescent obesity is highly likely to lead to adult obesity and is associated with dietary habits, subjective health, and body image perception. This study aimed to analyze the relationships between BMI, dietary habits, subjective health perception, and body image perception among Korean adolescents using data from the 18th Korea Youth Risk Behavior Survey conducted in 2022 to explore strategies for reducing adolescent obesity rates.
Methods: Data from 50,427 participants were analyzed, including BMI, seven lifestyle factors (intake frequencies of water, milk, fruit, soft drinks, vegetables, breakfast, and late-night snacks), and responses to one item each for subjective health perception and body image perception.
Cancers (Basel)
January 2025
Department of Medical Oncology, Faculty of Medicine, İstinye University, İstanbul 34010, Turkey.
Background: Although higher-generation TKIs are associated with improved progression-free survival in advanced NSCLC patients with EGFR mutations, the optimal selection of TKI treatment remains uncertain. To address this gap, we developed a web application powered by a reinforcement learning (RL) algorithm to assist in guiding initial TKI treatment decisions.
Methods: Clinical and mutational data from advanced NSCLC patients were retrospectively collected from 14 medical centers.
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