Computer methods and programs in biomedicine
Jun 19, 2023
BACKGROUND: When the COVID-19 pandemic commenced in 2020, scientists assisted medical specialists with diagnostic algorithm development. One scientific research area related to COVID-19 diagnosis was medical imaging and its potential to support molec...
Machine learning has emerged as a significant tool to augment the medical decision-making process. Studies have steadily accrued detailing algorithms and models designed using machine learning to predict and anticipate pathologic states. The cardiac ...
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jun 19, 2023
Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The purpose of the study was to establish the clinical application of an in-house developed artificial int...
The aim of this study was to compare outcomes of laparoscopic and robotic-assisted colectomy in children. All children who underwent a colectomy with a laparoscopic (LapC) or robotic-assisted (RobC) approach in our institution (January 2010-March 202...
The incontinence after RARP significantly decreases the quality of life in prostate cancer patients. A number of techniques have been introduced for the recovery of continence after RARP. Although, the mechanism of the continence recovery is still un...
Journal of applied clinical medical physics
Jun 19, 2023
PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS).
Aging clinical and experimental research
Jun 19, 2023
OBJECTIVES: This study aimed to assess more clinical and pathological factors associated with prostate cancer (PCa) progression in high-risk PCa patients treated primarily with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph nod...
Parkinson's disease (PD) diagnosis based on magnetic resonance imaging (MRI) is still challenging clinically. Quantitative susceptibility maps (QSM) can potentially provide underlying pathophysiological information by detecting the iron distribution ...
Journal of applied clinical medical physics
Jun 19, 2023
PURPOSE: Accurate body weight measurement is essential to promote computed tomography (CT) dose optimization; however, body weight cannot always be measured prior to CT examination, especially in the emergency setting. The aim of this study was to in...
Background: Hemorrhage remains the leading cause of death on the battlefield. This study aims to assess the ability of an artificial intelligence triage algorithm to automatically analyze vital-sign data and stratify hemorrhage risk in trauma patient...
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