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Machine learning applications in placenta accreta spectrum disorders.
Eur J Obstet Gynecol Reprod Biol X
March 2025
Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.
View Article and Find Full Text PDFThe influence of health literacy on how preschool educators and parents perceive the continuous development of health competencies within the framework of sustainability: Lithuanian case.
Front Public Health
January 2025
Ultrasound Research Institute, Kaunas University of Technology, Kaunas, Lithuania.
Preschool education is one of the most important priorities of modern educational policies and the basis of lifelong learning. Health-literate educators and parents are better equipped to instill sustainable health practices in young children. Therefore, it is important to examine health literacy and determine how preschool educators and parents perceive the continuous development of health competencies within the framework of sustainability.
View Article and Find Full Text PDFMRI Radiomics Analysis in the Diagnostic Differentiation of Malignant Soft Tissue Myxoid Sarcomas From Benign Soft Tissue Musculoskeletal Myxomas.
J Magn Reson Imaging
January 2025
Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
Background: Differentiation of benign myxomas and malignant myxoid sarcomas can be difficult with an overlapping spectrum of morphologic MR findings.
Purpose: To assess the diagnostic utility of MRI radiomics in the differentiation of musculoskeletal myxomas and myxoid sarcomas.
Study Type: Retrospective.
Brain Iron Deposition Alterations in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment Based on Quantitative Susceptibility Mapping.
J Diabetes
January 2025
Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing City, Jiangsu Province, China.
Background: Iron is one of the most important elements in brain that may has a direct impact on the stability of central nervous system. The current study devoted to explore the alterations of iron distribution across the whole brain in type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI).
Methods: The quantitative susceptibility mapping (QSM) technique was used to quantify the intracranial iron content of 74 T2DM patients with MCI and 86 T2DM patients with normal cognition (NC).
Novel Objective Tool to Assess Tremor Reveals Unilateral Focused Ultrasound Improves Tremor Bilaterally.
Neurol Ther
January 2025
Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
Background: Tremor in essential tremor and in tremor-dominant Parkinson's disease is assessed by subjective observations in patients undergoing focused ultrasound thalamotomy, a minimally invasive procedure intended to alleviate tremor in these patients.
Objective: To develop an objective tool for tremor analysis to be used before and after focused ultrasound thalamotomy treatment in the treated hand (contralateral to ablation) and non-treated (ipsilateral to ablation).
Methods: Using image processing and signal processing that utilized images of a Archimedes spiral drawing, we created a tool to analyze tremor.
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