AIMC Topic: Feasibility Studies
Clear Filters Showing 801 to 810 of 879 articles
Model assessment: new measures should be known and traditional measures should be accurately interpreted.
European heart journal
Jan 1, 2021
Time for clinicians to revisit their perspectives on C-statistic.
European heart journal
Jan 1, 2021
Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.
Diagnostic and interventional radiology (Ankara, Turkey)
Jan 1, 2021
PURPOSE: Chest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging features associated with clinical elements may assist with the development or validation of automated image analysis tools. We aimed to identify associ...
Selfies in cardiovascular medicine: welcome to a new era of medical diagnostics.
European heart journal
Dec 7, 2020
Feasibility of using deep learning to detect coronary artery disease based on facial photo.
European heart journal
Dec 7, 2020
AIMS: Facial features were associated with increased risk of coronary artery disease (CAD). We developed and validated a deep learning algorithm for detecting CAD based on facial photos.
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides.
Hepatology (Baltimore, Md.)
Dec 1, 2020
BACKGROUND AND AIMS: Standardized and robust risk-stratification systems for patients with hepatocellular carcinoma (HCC) are required to improve therapeutic strategies and investigate the benefits of adjuvant systemic therapies after curative resect...
Robot-Assisted Nephrectomy Using the Newly Developed Single-Port Robotic Surgical System: A Feasibility Study in Porcine Model.
Journal of endourology
Nov 1, 2020
To evaluate the feasibility and safety of the single-port robotic platform by performing nephrectomy in live porcine model. Robotic nephrectomy was performed on sample group of five gilts using the single-port robotic system. The continuous vital...
Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery.
Pituitary
Oct 1, 2020
PURPOSE: Hyponatremia after pituitary surgery is a frequent finding with potential severe complications and the most common cause for readmission. Several studies have found parameters associated with postoperative hyponatremia, but no reliable speci...
Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Oct 1, 2020
OBJECTIVES: To evaluate the feasibility of using deep-learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes.
Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG - A Feasibility Study.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive tasks. It is challenging for the patient to maintain concentration during training sessions. A novel intervention strategy using Electroencephalography...
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