Unveiling the Phytochemical Diversity and Bioactivity of : A First Report Integrating Experimental and In Silico Approaches.

: The genus is renowned for its diverse bioactive potential, yet the chemical composition and biological properties of remain inadequately explored. This study aimed to investigate the chemical profile, antioxidant capacity, and enzyme inhibitory activities of methanol extracts from various plant parts of . : Methanol extracts were obtained from leaves, stems, flowers, roots, and aerial portions of .

Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends.

Background: The integration of large language models (LLMs) in healthcare has generated significant interest due to their potential to improve diagnostic accuracy, personalization of treatment, and patient care efficiency.

Objective: This study aims to conduct a comprehensive bibliometric analysis to identify current research trends, main themes and future directions regarding applications in the healthcare sector.

Methods: A systematic scan of publications until 08.

Global trends and future directions on carbapenem-resistant Enterobacteriaceae (CRE) research: A comprehensive bibliometric analysis (2020-2024).

The increasing prevalence of carbapenem-resistant Enterobacteriaceae (CRE) poses a significant threat to public health. CRE, particularly Klebsiella pneumoniae, is associated with high morbidity and mortality owing to limited treatment options. This study identifies current research trends, major topics, and future directions in the scientific field of CRE.

A Comparative Analysis of ChatGPT and Medical Faculty Graduates in Medical Specialization Exams: Uncovering the Potential of Artificial Intelligence in Medical Education.

Background This study aims to evaluate the performance of ChatGPT in the medical specialization exam (MSE) that medical graduates take when choosing their postgraduate specialization and to reveal how artificial intelligence-supported education can increase the quality and academic success of medical education. The research aims to explore the potential applications and advantages of artificial intelligence in medical education and examine ways in which this technology can contribute to student learning and exam preparation. Methodology A total of 240 MSE questions were posed to ChatGPT, 120 of which were basic medical sciences questions and 120 were clinical medical sciences questions.

Retrospective analysis of serologic test requests in the diagnosis of viral hepatitis: Inappropriate test requests and cost.

The rational laboratory use and implementation of test ordering procedures aim to reduce unnecessary test requests. This study aimed to determine the financial burden caused by inappropriate serological test requests for viral hepatitis and to investigate physicians' reasons for making unnecessary test requests. We performed a retrospective evaluation of inappropriate requests for hepatitis serology testing and the financial burden they caused at a tertiary care hospital over a 1-year period.

Analysis of the effect of hashimoto's thyroiditis and insulin resistance on ovarian volume in patients with polycystic ovary syndrome.

Objective: In this study, patients were divided into two groups. Patients with polycystic ovary syndrome (PCOS) and patients with polycystic ovary syndrome + Hashimoto's Thyroid (PCOS + HT). The effect of insulin resistance on ovarian volume in patients divided into two groups and the change in ovarian volume with the addition of HT to PCOS will be investigated.