AIMC Topic: Feasibility Studies
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Assessment of Feasibility of Robot-assisted Radical Cystectomy in Patients With Advanced Bladder Cancer Treated With Maintenance Hemodialysis Therapy.
In vivo (Athens, Greece)
Jan 1, 2022
BACKGROUND/AIM: To clarify the perioperative and oncological outcomes of robot-assisted radical cystectomy (RARC) in advanced bladder cancer (BC) patients treated with maintenance hemodialysis (HD) therapy.
A novel 3D-vision-based collaborative robot as a scope holding system for port surgery: a technical feasibility study.
Neurosurgical focus
Jan 1, 2022
OBJECTIVE: A clear, stable, suitably located vision field is essential for port surgery. A scope is usually held by hand or a fixing device. The former yields fatigue and requires lengthy training, while the latter increases inconvenience because of ...
Major depression disorder diagnosis and analysis based on structural magnetic resonance imaging and deep learning.
Journal of integrative neuroscience
Dec 30, 2021
Major depression disorder is one of the diseases with the highest rate of disability and morbidity and is associated with numerous structural and functional differences in neural systems. However, it is difficult to analyze digital medical imaging da...
Improved robot-assisted laparoscopic telesurgery: feasibility of network converged communication.
The British journal of surgery
Nov 11, 2021
Feasibility of Radiomics to Differentiate Coronavirus Disease 2019 (COVID-19) from H1N1 Influenza Pneumonia on Chest Computed Tomography: A Proof of Concept.
Iranian journal of medical sciences
Nov 1, 2021
BACKGROUND: Chest computed tomography (CT) plays an essential role in diagnosing coronavirus disease 2019 (COVID-19). However, CT findings are often nonspecific among different viral pneumonia conditions. The differentiation between COVID-19 and infl...
Feasibility and Accuracy of Artificial Intelligence-Assisted Sponge Cytology for Community-Based Esophageal Squamous Cell Carcinoma Screening in China.
The American journal of gastroenterology
Nov 1, 2021
INTRODUCTION: Screening is the pivotal strategy to relieve the burden of esophageal squamous cell carcinoma (ESCC) in high-risk areas. The cost, invasiveness, and accessibility of esophagogastroduodenoscopy (EGD) necessitate the development of prelim...
Detection and characterization of COVID-19 findings in chest CT: Feasibility and applicability of an AI-based software tool.
Medicine
Oct 15, 2021
The COVID-19 pandemic has challenged institutions' diagnostic processes worldwide. The aim of this study was to assess the feasibility of an artificial intelligence (AI)-based software tool that automatically evaluates chest computed tomography for f...
NMCMDA: neural multicategory MiRNA-disease association prediction.
Briefings in bioinformatics
Sep 2, 2021
MOTIVATION: There is growing evidence showing that the dysregulations of miRNAs cause diseases through various kinds of the underlying mechanism. Thus, predicting the multiple-category associations between microRNAs (miRNAs) and diseases plays an imp...
Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain.
Clinical nuclear medicine
Aug 1, 2021
OBJECTIVE: This study evaluates the feasibility of direct scatter and attenuation correction of whole-body 68Ga-PSMA PET images in the image domain using deep learning.
On the feasibility of deep learning applications using raw mass spectrometry data.
Bioinformatics (Oxford, England)
Jul 12, 2021
SUMMARY: In recent years, SWATH-MS has become the proteomic method of choice for data-independent-acquisition, as it enables high proteome coverage, accuracy and reproducibility. However, data analysis is convoluted and requires prior information and...
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