AIMC Topic: Feasibility Studies
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An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy.
Echocardiography (Mount Kisco, N.Y.)
Dec 21, 2023
AIM: To test the feasibility and accuracy of a new attention-based deep learning (DL) method for right ventricular (RV) quantification using 2D echocardiography (2DE) with cardiac magnetic resonance imaging (CMR) as reference.
Development and validation of a deep learning model to predict axial length from ultra-wide field images.
Eye (London, England)
Dec 15, 2023
BACKGROUND: To validate the feasibility of building a deep learning model to predict axial length (AL) for moderate to high myopic patients from ultra-wide field (UWF) images.
Feasibility of artificial intelligence its current status, clinical applications, and future direction in cardiovascular disease.
Current problems in cardiology
Dec 14, 2023
In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely on data in a variety of formats. These formats comprise invasive angiography, laboratory data, non-invasive imaging diagnostics, and patient history. Artif...
Deep learning-based facial analysis for predicting difficult videolaryngoscopy: a feasibility study.
Anaesthesia
Dec 13, 2023
While videolaryngoscopy has resulted in better overall success rates of tracheal intubation, airway assessment is still an important prerequisite for safe airway management. This study aimed to create an artificial intelligence model to identify diff...
A feasibility study of robot-assisted percutaneous reduction and fixation technique for treating posterolateral depression tibial plateau fractures.
Scientific reports
Dec 12, 2023
Posterolateral (PL)-depression fractures of the tibial plateau are difficult to manage. The aim of this study was: (1) to present our experience with a novel technique of robot-assisted percutaneous reduction and fixation and (2) to compare it with t...
Feasibility of Image Inversion for Ventral Hernia Repair Using the Versius System.
Journal of laparoendoscopic & advanced surgical techniques. Part A
Dec 6, 2023
The aim of our technical report is to demonstrate the image inversion technique in the new Versius Robotic System. We report a step-by-step surgical maneuver for robotic surgeons when performing robotic ventral hernia repair (VHR) with the Versius ...
Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.
Ultraschall in der Medizin (Stuttgart, Germany : 1980)
Dec 5, 2023
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultrasound to differentiate the primary cancer sites of metastatic cervical lymphadenopathy (CLA).
Feasibility and accuracy of a task-autonomous robot for zygomatic implant placement.
The Journal of prosthetic dentistry
Nov 27, 2023
STATEMENT OF PROBLEM: Zygomatic implants (ZIs) should be placed accurately as planned preoperatively to minimize complications and maximize the use of the remaining bone. Current digital techniques such as static guides and dynamic navigation are aff...
Feasibility interventional study investigating PAIN in neurorehabilitation through wearabLE SensorS (PAINLESS): a study protocol.
BMJ open
Nov 22, 2023
INTRODUCTION: Millions of people survive injuries to the central or peripheral nervous system for which neurorehabilitation is required. In addition to the physical and cognitive impairments, many neurorehabilitation patients experience pain, often n...
Feasibility and limitations of deep learning-based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT.
European radiology
Nov 14, 2023
OBJECTIVE: This study aimed to determine the feasibility and limitations of deep learning-based coronary calcium scoring using positron emission tomography-computed tomography (PET-CT) in comparison with coronary calcium scoring using ECG-gated non-c...
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