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Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis.

Interact J Med Res

January 2025

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.

Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.

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Global antibiotic prescription practices in hospitals and associated factors: a systematic review and meta-analysis.

J Glob Health

January 2025

Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Background: The prevalence of antibiotic prescribing among total prescriptions, the percentage of combined antibiotic prescribing among prescriptions containing at least one antibiotic, and factors influencing hospital antibiotic prescribing are currently unknown. In this systematic review, we aimed to summarise antibiotic prescribing in hospitals worldwide and identify the associated factors.

Methods: We searched PubMed/MEDLINE, Ovid/Embase, and the Web of Science for articles published between 1 January 2000 and 28 February 2023 that reported antibiotic prescribing in hospitals or the associated factors.

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Background: Psychological distress, such as depression and anxiety, impacts cardiovascular disease (CVD) prognosis and management. Illness comprehension is essential for effective treatment, but biases can lead to suboptimal outcomes. We explored psycho-cardiovascular disease (PCD) patient characteristics, with a specific focus on comprehension biases and treatment choices from patients' perspectives in China, to improve management strategies.

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A novel ionic liquid MALDI matrix, 3-aminoquinoline/2',4',6'-trihydroxyacetophenone monohydrate (3-AQ/THAP), was developed for the rapid qualitative and quantitative detection of miRNA from biological samples. Compared to the traditional matrix 2,5-dihydroxybenzoic acid (DHB) and previously reported oligonucleotide-specific matrices, such as 3-aminopicolinic acid (3-APA), 3-hydroxypicolinic acid (3-HPA), and 6-aza-2-thiothymine (ATT), the 3-AQ/THAP matrix offers several advantages. It produces fewer alkali metal adduct peaks, exhibits higher sensitivity, and ensures better spot-to-spot repeatability.

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Seed color is a critical quality trait in numerous plant species. In oilseed crops, including rapeseed and mustard, yellow seeds are distinguished by their significantly higher oil content and faster germination rates compared to black or brown counterparts. Despite the agronomic significance of the yellow seeds being a prime breeding target, the mechanisms underlying elevated oil content remain obscure.

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