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Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis.
J Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
Artificial Intelligence-Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study.
J Med Internet Res
December 2024
School of Automation, Central South University, Changsha, China.
Background: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especially in preventing the deterioration of skin tumors in private parts such as Paget disease. However, to our knowledge, there is currently no research on using AI to identify PPSDs due to the complex backgrounds of the lesion areas and the challenges in data collection.
View Article and Find Full Text PDFSynthetic MRI derived relaxometry parameters: a new insight into characterization of ring enhancing lesions of brain.
Neuroradiology
December 2024
Division of Neuroimaging and Interventional Neuroradiology, Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Background And Purpose: Synthetic MRI utilizes the quantitative relaxometry parameters to generate multiple contrast images through a single acquisition. We tried to explore the utility of synthetic MRI derived relaxometry parameters in evaluation of ring enhancing lesions of brain.
Materials And Methods: This was a prospective study.
Comparison of three different scoring systems in predicting success of retrograde intrarenal surgery in kidney stones larger than 20 millimeters.
World J Urol
December 2024
Department of Urology, Health Sciences University, Adana City Training and Research Hospital, Adana, Turkey.
Purpose: To evaluate stone free rate (SFR) predictivity of three different scoring systems in patients with kidney stones larger than 20 millimeters undergoing retrograde intrarenal surgery(RİRS).
Methods: Digital records of a total of 166 patients were reviewed retrospectively. Epidemiological characteristics (age, gender, medical history) of the patients, stone and affected kidney characteristics (size, volume, location, density, opaque, presence of urinary system anomaly, presence of stones in different calyx, number of stones, lower pole stone, renal infundibulopelvic angle (IPA), renal infundibulopelvic length (RIL), hydronephrosis), and operative characteristics (preoperative ureteral stent, operation duration, postoperative residual fragments, hospitalization time and complications were recorded.
Paroxetine promotes longevity via ser-7-dop-4-IIS axis in Caenorhabditis elegans.
Geroscience
December 2024
Center for Aging Biomedicine, College of Life Sciences, National & Local Joint Engineering Laboratory of Animal Peptide Drug Development, Hunan Normal University, 36 Lushan Road, Changsha, 410081, Hunan, China.
Paroxetine, a selective serotonin reuptake inhibitor, is widely used in the clinical treatment of depression. While several antidepressants show promise as geroprotectors, the role of paroxetine in aging remains unclear. In this study, we evaluated the lifespan extension effect of paroxetine in Caenorhabditis elegans (C.
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