AIMC Topic: Feasibility Studies
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Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study.
Scientific reports
Jul 6, 2020
The last two decades saw the establishment of three-dimensional (3D) cell cultures as an acknowledged tool to investigate cell behaviour in a tissue-like environment. Cells growing in spheroids differentiate and develop different characteristics in c...
A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.
Journal of the American Academy of Dermatology
Jun 23, 2020
Trace2trace-A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.
Sensors (Basel, Switzerland)
Jun 21, 2020
Neural machine translation is a prominent field in the computational linguistics domain. By leveraging the recent developments of deep learning, it gave birth to powerful algorithms for translating text from one language to another. This study aims t...
The ReWalk ReStore™ soft robotic exosuit: a multi-site clinical trial of the safety, reliability, and feasibility of exosuit-augmented post-stroke gait rehabilitation.
Journal of neuroengineering and rehabilitation
Jun 18, 2020
BACKGROUND: Atypical walking in the months and years after stroke constrain community reintegration and reduce mobility, health, and quality of life. The ReWalk ReStore™ is a soft robotic exosuit designed to assist the propulsion and ground clearance...
Deep learning-based survival prediction for multiple cancer types using histopathology images.
PloS one
Jun 17, 2020
Providing prognostic information at the time of cancer diagnosis has important implications for treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and clinical variables can provide useful prognostic ...
A Novel Robotic Endoscopic Device Used for Operative Hysteroscopy.
Journal of minimally invasive gynecology
Jun 12, 2020
To trial the use of a novel endoscopic robot that functions using concentric tube robots, enabling 2-handed surgery in small spaces, in a bioengineering laboratory. This was a feasibility study of the endoscopic robot for hysteroscopic applications, ...
Altered resting-state functional connectivity and effective connectivity of the habenula in irritable bowel syndrome: A cross-sectional and machine learning study.
Human brain mapping
Jun 3, 2020
Irritable bowel syndrome (IBS) is a disorder involving dysfunctional brain-gut interactions characterized by chronic recurrent abdominal pain, altered bowel habits, and negative emotion. Previous studies have linked the habenula to the pathophysiolog...
Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.
Urology
May 20, 2020
OBJECTIVE: To reliably and quickly diagnose children with posterior urethral valves (PUV), we developed a multi-instance deep learning method to automate image analysis.
Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.
Biomedical engineering online
May 14, 2020
BACKGROUND: In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The pers...
Cochlear implant telemedicine: Remote fitting based on psychoacoustic self-tests and artificial intelligence.
Cochlear implants international
May 13, 2020
This study aims to assess the feasibility of autonomous cochlear implant (CI) fitting by adult CI recipients based on psychoacoustic self-testing and artificial intelligence (AI). A feasibility study was performed on six adult CI recipients implant...
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