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Grad-CAM Enabled Breast Cancer Classification with a 3D Inception-ResNet V2: Empowering Radiologists with Explainable Insights.
Cancers (Basel)
October 2024
Computers and Control Systems Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt.
Breast cancer (BCa) poses a severe threat to women's health worldwide as it is the most frequently diagnosed type of cancer and the primary cause of death for female patients. The biopsy procedure remains the gold standard for accurate and effective diagnosis of BCa. However, its adverse effects, such as invasiveness, bleeding, infection, and reporting time, keep this procedure as a last resort for diagnosis.
View Article and Find Full Text PDFHealthcare Professional Association Agency in Preparing for Artificial Intelligence: A Multiple-Case Study of Radiation Medicine and Medical Imaging in the Canadian context.
Int J Radiat Oncol Biol Phys
October 2023
Institute of Health Policy, Management, & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto ON.
As artificial intelligence (AI) is increasingly integrated in healthcare, it is incumbent on healthcare professional associations (HPAs) to assist their memberships in preparing for related change. HPAs hold a unique role in establishing the socio-cultural, normative, and regulative elements of healthcare professions. An exploratory multiple-case study approach was employed to consider how, when faced with AI as a disruptive technology, HPAs engage in sense-making and legitimation of the change in order to support their membership in preparing for future practice.
View Article and Find Full Text PDFIntracranial manifestations of central nervous system tuberculosis in children.
Pediatr Radiol
October 2024
Department of Pediatric Neurology, Hospital Nacional Cayetano Heredia, Lima, Peru.
Article Synopsis
- Tuberculosis, and specifically central nervous system tuberculosis (CNS-TB), is a major global health issue, making up 1-10% of all TB cases, particularly affecting children.
- The article highlights key CNS-TB forms in children, such as tuberculous meningitis and tuberculomas, along with potential complications that may arise.
- It stresses the significance of diagnostic imaging techniques like CT and MRI for early detection and emphasizes the need for increased awareness among healthcare professionals to ensure timely treatment and better outcomes for affected children.
A hybrid approach for automatic segmentation and classification to detect tuberculosis.
Digit Health
August 2024
Department of Computer Science, City University of Science and IT, Peshawar, KP, Pakistan.
Objective: Tuberculosis (TB) remains a significant global infectious disease, posing a considerable health threat, particularly in resource-constrained regions. Due to diverse datasets, radiologists face challenges in accurately diagnosing TB using X-ray images. This study aims to propose an innovative approach leveraging image processing techniques to enhance TB diagnostic accuracy within the automatic segmentation and classification (AuSC) framework for healthcare.
View Article and Find Full Text PDFUnderstanding Type II Endoleak: A Harmless Imaging Finding or a Silent Threat?
J Clin Med
July 2024
Division of Vascular and Endovascular Surgery, Department of Surgery, Stony Brook University Hospital, Stony Brook, NY 11794, USA.
Type II endoleak (T2EL) represents a challenging clinical entity following endovascular abdominal aortic aneurysm repair (EVAR). Although several studies have suggested that T2ELs are related to an increased risk of aneurysm sac growth and subsequent rupture, the exact role that T2ELs play in long-term outcomes remains debatable. Understanding the pathophysiology, diagnostic modalities, and management options of T2ELs is important for patients' safety and proper resource utilization.
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