Croatian medical journal
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Croatian medical journal · Apr 2024
The knowledge about long-term consequences of preterm birth among health professionals, educational professionals, and parents in Slovenia.
To assess the knowledge about the long-term consequences of preterm birth and the need for training and information among various professionals working with preterm children and parents of preterm children. ⋯ The findings underscore the importance of integrating the issue of the long-term outcomes of preterm birth and working with preterm children into formal education, and in other forms of educational activities.
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Croatian medical journal · Apr 2024
Factors contributing to variability in metformin concentration in polycystic ovary syndrome.
To investigate the factors affecting metformin concentrations after chronic administration in patients with polycystic ovary syndrome (PCOS), focusing on the pharmacokinetic variability and its implications for personalized therapy. ⋯ This study highlights the critical role of BMI in influencing metformin pharmacokinetics in PCOS patients and underscores the need for personalized treatment strategies in patients with PCOS.
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Croatian medical journal · Apr 2024
Exploring ChatGPT's abilities in medical article writing and peer review.
To evaluate the quality of ChatGPT-generated case reports and assess the ability of ChatGPT to peer review medical articles. ⋯ While ChatGPT demonstrated proficiency in generating case reports, there were limitations in terms of consistency and accuracy, especially in referencing.
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Croatian medical journal · Apr 2024
Innovative statistical approaches: the use of neural networks reduces the sample size in the splenectomy-MCAO mouse model.
To compare the effectiveness of artificial neural network (ANN) and traditional statistical analysis on identical data sets within the splenectomy-middle carotid artery occlusion (MCAO) mouse model. ⋯ This study validated the neuroprotective impact of splenectomy in an MCAO model using ANN for data analysis with a reduced animal sample size, demonstrating the potential for leveraging advanced statistical methods to minimize sample sizes in experimental biomedical research.