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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 PDFDetecting low birth weight is crucial for early identification of at-risk pregnancies which are associated with significant neonatal and maternal morbidity and mortality risks. This study presents an efficient and interpretable framework for unsupervised detection of low, very low, and extreme birth weights. While traditional approaches to managing class imbalance require labeled data, our study explores the use of unsupervised learning to detect anomalies indicative of low birth weight scenarios.
View Article and Find Full Text PDFImproving care in elderly neurosurgery initiative guideline on management of chronic subdural haematoma in older people-relevance for the geriatrician.
Age Ageing
January 2025
North Bristol NHS Trust - Geriatric Medicine, Southmead Hospital, Southmead Road, Bristol BS10 5NB, UK.
Chronic subdural haematoma (cSDH) is a common subtype of traumatic brain injury, typically affecting older people living with frailty and multimorbidity. Until now, no published guideline has existed internationally to guide management, perhaps explaining why the care of the older cSDH patient varies between neurosurgical centres. The Improving Care in Elderly Neurosurgery Initiative guideline is the first guideline dedicated to the care of patients with cSDH across the entire patient pathway, from initial presentation through to rehabilitation and discharge after surgery.
View Article and Find Full Text PDFA model of care redesign within rheumatology: A mixed methods approach integrating nurse practitioners and physician assistants.
J Am Assoc Nurse Pract
January 2025
Division of Cardiology, Department of Medicine, Duke Health Integrated Practice, Duke University Health System, Durham, North Carolina.
Background: Increasing patient demand and clinician burnout in rheumatology practices have highlighted the need for more efficient models of care (MOC). Interprofessional collaboration is essential for improving patient outcomes and clinician satisfaction.
Local Problem: Our current MOC lacks standardization and formal integration of Nurse Practitioners (NPs) and Physician Assistants (PAs), resulting in reduced clinician satisfaction and limited patient access.
Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.
Eur Radiol
January 2025
Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.
Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.
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