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Expert-Based Narrative Review on Compression UltraSonography (CUS) for Diagnosis and Follow-Up of Deep Venous Thrombosis (DVT).
Diagnostics (Basel)
January 2025
Research Center on Thromboembolic Diseases and Antithrombotic Treatment, Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy.
Deep venous thrombosis (DVT) is a pathological condition that develops when a thrombus forms within the deep venous system. Typically, it involves the lower limbs and, less frequently, the upper extremities or other unusual districts such as cerebral or splanchnic veins. While leg DVT itself is rarely fatal and occasionally can lead to limb-threatening implications, its most fearsome complication, namely pulmonary embolism, is potentially fatal and significantly contributes to increased healthcare costs and impaired quality of life in affected patients and caregivers.
View Article and Find Full Text PDFSmartSkin-XAI: An Interpretable Deep Learning Approach for Enhanced Skin Cancer Diagnosis in Smart Healthcare.
Diagnostics (Basel)
December 2024
Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, TX 78363, USA.
Skin cancer, particularly melanoma, poses significant challenges due to the heterogeneity of skin images and the demand for accurate and interpretable diagnostic systems. Early detection and effective management are crucial for improving patient outcomes. Traditional AI models often struggle with balancing accuracy and interpretability, which are critical for clinical adoption.
View Article and Find Full Text PDFLung Ultrasound in Neonatal Respiratory Distress Syndrome: A Narrative Review of the Last 10 Years.
Diagnostics (Basel)
December 2024
Pediatric Clinic, Parma University Hospital, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
Neonatal respiratory distress syndrome (RDS) is a common and potentially life-threatening condition in preterm infants, primarily due to surfactant deficiency. Early and accurate diagnosis is critical to guide timely interventions such as surfactant administration and respiratory support. Traditionally, chest X-rays have been used for diagnosis, but lung ultrasound (LUS) has gained prominence due to its non-invasive, radiation-free, and bedside applicability.
View Article and Find Full Text PDFMid-infrared spectroscopy as a real-time diagnostic tool for chronic endometritis: A preliminary study.
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
IVF Unit, Hillel Yaffe Medical Center, Hadera, Israel; Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 3109601, Israel.
Research Question: Can attenuated total reflection-Fourier transform infrared spectroscopy combined with machine learning techniques be used to develop a real-time diagnostic modality for chronic endometritis by analysing endometrial biopsies obtained during hysteroscopy?
Design: Women undergoing hysteroscopy for infertility assessment were enrolled in this prospective study from January 2020 to March 2021. Endometrial biopsies were evaluated using a spectrophotometer, and subsequently via histopathology, including immunohistochemical staining for the multiple myeloma oncogene-1 (MUM-1). Spectroscopy analyses of the positive and the negative chronic endometritis groups were compared across various cut-offs of MUM-1 positive cells per 10 high-power fields (HPF).
Rapid response electroencephalography decreases time to seizure diagnosis in pediatric acute care patients.
Epilepsia Open
January 2025
Division of Pediatric Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Objectives: Pediatric status epilepticus (SE) carries a high risk of morbidity and mortality and can result in neurologic injury. Establishing seizure activity on conventional EEG (cEEG) is essential but can delay treatment of seizures due to technician limitations. Rapid response EEG (rrEEG) device Ceribell and its Brain Stethoscope function can be used and interpreted rapidly by bedside providers with minimal training.
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