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Improving myocardial infarction diagnosis with Siamese network-based ECG analysis.
PLoS One
January 2025
School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.
Background: Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood flow. The leading cause of death for middle-aged and older people worldwide is myocardial infarction (MI), which is difficult to diagnose because it has no symptoms. Clinicians must evaluate electrocardiography (ECG) signals to diagnose MI, which is difficult and prone to observer bias.
View Article and Find Full Text PDFEvaluation of the practical application of the category-imbalanced myeloid cell classification model.
PLoS One
January 2025
School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
The incidence of acute myeloid leukemia (AML) is increasing annually, and timely diagnostic and treatments can substantially improve patient survival rates. AML typing traditionally relies on manual microscopy for classifying and counting myeloid cells, which is time-consuming, laborious, and subjective. Therefore, developing a reliable automated model for myeloid cell classification is imperative.
View Article and Find Full Text PDFAn early evaluation of robot-assisted and conventional techniques for posterior approach atlantoaxial displacement instrumentation - a systematic review and meta-analysis.
Neurosurg Rev
January 2025
Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Zabrze, 41-808, Poland.
Atlantoaxial dislocation (AAD) is a serious condition in which the first two cervical vertebrae lose their anatomical position and stability. This may lead to neurological complications, including death. The treatment of AAD remains controversial, and posterior instrumentation with pedicle screw placement is one of the commonly used methods.
View Article and Find Full Text PDFIdentifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis.
Abdom Radiol (NY)
January 2025
Kerman University of Medical Sciences, Kerman, Islamic Republic of Iran.
Background And Aim: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs) have been constrained by small sample sizes or uneven assessments of aggregated data. Natural language processing (NLP) can significantly enhance the investigation and treatment of patients with AAAs by swiftly and effectively collecting imaging data from health records. This meta-analysis aimed to evaluate the efficacy of NLP techniques in reliably identifying the existence or absence of AAAs and measuring the maximal abdominal aortic diameter in extensive datasets of radiology study reports.
View Article and Find Full Text PDFAugmenting motion artifacts to enhance auto-contouring of complex structures in cone-beam computed tomography imaging.
Phys Med Biol
January 2025
Imaging Laboratory (iLab), Varian Medical Systems, Siemens Healthcare, Baden, Switzerland.
. To develop an augmentation method that simulates cone-beam computed tomography (CBCT) related motion artifacts, which can be used to generate training-data to increase the performance of artificial intelligence models dedicated to auto-contouring tasks.The augmentation technique generates data that simulates artifacts typically present in CBCT imaging.
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