AIMC Topic: Feasibility Studies
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Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy.
Medical physics
Nov 13, 2023
BACKGROUND: Deep learning has shown promising results to generate MRI-based synthetic CTs and to enable accurate proton dose calculations on MRIs. For clinical implementation of synthetic CTs, quality assurance tools that verify their quality and rel...
Stentless florence robotic intracorporeal neobladder (FloRIN), a feasibility prospective randomized clinical trial.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Nov 8, 2023
INTRODUCTION: Aim of the study was to evaluate perioperative, postoperative and mid-term functional outcomes of Florence intracorporeal neobladder (FloRIN) configuration technique performed with stentless procedure.
Feasibility and Safety of 5G-Based Telerobotic Abdominal Ultrasonography.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Nov 2, 2023
OBJECTIVE: Telemedicine can offer services to remote patients regardless of the distance. Fifth-generation (5G) mobile networks may make telemedicine practical because of their low latency. This study aimed to evaluate the feasibility and safety of a...
Early chest tube removal regardless of drainage volume after anatomic pulmonary resection: A multicenter, randomized, controlled trial.
The Journal of thoracic and cardiovascular surgery
Oct 30, 2023
OBJECTIVES: This study aimed to evaluate the safety and feasibility of early chest tube removal after anatomic pulmonary resection, regardless of the drainage volume.
Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.
Journal of magnetic resonance imaging : JMRI
Oct 28, 2023
BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous tumors (ISFTs) can help predict patient outcomes and develop personalized treatment plans. However, the role of a comprehensive model based on clinica...
CURATE.AI COR-Tx platform as a digital therapy and digital diagnostic for cognitive function in patients with brain tumour postradiotherapy treatment: protocol for a prospective mixed-methods feasibility clinical trial.
BMJ open
Oct 24, 2023
INTRODUCTION: Conventional interventional modalities for preserving or improving cognitive function in patients with brain tumour undergoing radiotherapy usually involve pharmacological and/or cognitive rehabilitation therapy administered at fixed do...
Feasibility, safety, and efficacy of task-oriented mirrored robotic training on upper-limb functions and activities of daily living in subacute poststroke patients: a pilot study.
European journal of physical and rehabilitation medicine
Oct 23, 2023
BACKGROUND: Robotic training with high repetitions facilitates upper-limb movements but provides fewer benefits for activities of daily living. Integrating activities of daily living training tasks and mirror therapy into a robot may enhance the func...
Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability.
Journal of magnetic resonance imaging : JMRI
Oct 17, 2023
BACKGROUND: Accurate breast density evaluation allows for more precise risk estimation but suffers from high inter-observer variability.
Deep Learning
ROC Curve
Image Processing, Computer-Assisted
Feasibility Studies
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Breast
Breast Neoplasms
Radiomics
Middle Aged
Humans
Reproducibility of Results
Retrospective Studies
Aged
Female
Adult
Observer Variation
Breast Density
Feasibility of robotic multivisceral resections in colorectal cancer patients: a NSQIP-based study.
Journal of robotic surgery
Oct 14, 2023
Multivisceral robotic surgery may be an alternative to sequential procedures in select patients with colorectal cancer who are diagnosed with synchronous lesions or in those who require additional procedures at the time of resection. The aim of this ...
Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value.
European journal of radiology
Oct 13, 2023
PURPOSE: Diffusion-weighted imaging (DWI) of the liver suffers from low resolution, noise, and artifacts. This study aimed to investigate the effect of deep learning reconstruction (DLR) on image quality and apparent diffusion coefficient (ADC) quant...
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