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Identifying ex vivo acute ischemic stroke thrombus composition using electrochemical impedance spectroscopy.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
BackgroundIntra-procedural characterization of stroke thromboemboli might guide mechanical thrombectomy (MT) device choice to improve recanalization rates. Electrochemical impedance spectroscopy (EIS) has been used to characterize various biological ...

One-Step Robot-Assisted Complete Urinary Tract Extirpation in Man with End-Stage Renal Disease on Dialysis: The First Case Report.

Current oncology (Toronto, Ont.)
Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC). In the National Comprehensive Cancer Network guidelines for bladder cancer, extirpative surgery is indicated in certain cases. However, some extrem...

Outcomes of prostate cancer patients after robot-assisted radical prostatectomy compared with open radical prostatectomy in Korea.

Scientific reports
Limited evidence exists regarding the value of robot-assisted radical prostatectomy (RARP) in promoting health outcomes in patients with prostate cancer (PCa) in Korea, prompting a study to determine its clinical impact. The study included 15,501 pat...

Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study.

Journal of nursing management
BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms amon...

Deep learning-based measurement of echocardiographic data and its application in the diagnosis of sudden cardiac death.

Biotechnology & genetic engineering reviews
This study aimed to evaluate the potential of deep learning applied to the measurement of echocardiographic data in patients with sudden cardiac death (SCD). 320 SCD patients who met the inclusion and exclusion criteria underwent clinical evaluation,...

Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy.

Journal of applied clinical medical physics
Deep learning (DL) models for radiation therapy (RT) image segmentation require accurately annotated training data. Multiple organ delineation guidelines exist; however, information on the used guideline is not provided with the delineation. Extracti...

Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study.

Gut
OBJECTIVE: To develop an interpretable artificial intelligence algorithm to rule out normal large bowel endoscopic biopsies, saving pathologist resources and helping with early diagnosis.

The Minimally Invasive Inguinal Hernia: Current Trends and Considerations.

The Surgical clinics of North America
Inguinal hernias are one of the most common surgical pathologies faced by the general surgeon in modern medicine. The cumulative incidence of an inguinal hernia is around 25% in men and 3% in women. The majority of inguinal hernias can be repaired mi...

Robot-assisted low anterior resection for a rectal cancer patient with ileal conduit: A case report.

Asian journal of endoscopic surgery
Surgery for rectal cancer patients with an ileal conduit after total cystectomy is difficult because adhesions in the pelvis and around the ileal conduit are expected. In the present case, we performed robot-assisted low anterior resection of the rec...

Gender-specific data-driven adiposity subtypes using deep-learning-based abdominal CT segmentation.

Obesity (Silver Spring, Md.)
OBJECTIVE: The aim of this study was to quantify abdominal adiposity and generate data-driven adiposity subtypes with different diabetes risks.