AIMC Topic: Feasibility Studies
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Feasibility of ultraviolet light-emitting diode irradiation robot for terminal decontamination of coronavirus disease 2019 (COVID-19) patient rooms.
Infection control and hospital epidemiology
Mar 9, 2021
OBJECTIVE: To investigate the feasibility of using an ultraviolet light-emitting diode (UV LED) robot for the terminal decontamination of coronavirus disease 2019 (COVID-19) patient rooms.
Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients.
Journal of the American College of Surgeons
Mar 8, 2021
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the ...
Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation.
JAMA network open
Mar 1, 2021
IMPORTANCE: Before the widespread implementation of robotic systems to provide patient care during the COVID-19 pandemic occurs, it is important to understand the acceptability of these systems among patients and the economic consequences associated ...
Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Feb 26, 2021
Dedicated cardiac SPECT scanners with cadmium-zinc-telluride cameras have shown capabilities for shortened scan times or reduced radiation doses, as well as improved image quality. Since most dedicated scanners do not have integrated CT, image quanti...
Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
Radiation oncology (London, England)
Feb 25, 2021
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and reduction of radiation doses to the nearby normal organs is important. However, manual clinical target volume (CTV) and organs-at-risk (OARs) segmentat...
Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models.
Environmental science and pollution research international
Feb 20, 2021
This study investigates the performance of support vector machine (SVM), multivariate adaptive regression spline (MARS), and random forest (RF) models for predicting the lead (Pb) adsorption by attapulgite clay. Models are constructed using batch sto...
Automated Histological Segmentation on Micro Computed Tomography Images of Atherosclerotic Arteries.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Feb 13, 2021
Feasibility of the use of deep learning classification of teat-end condition in Holstein cattle.
Journal of dairy science
Feb 13, 2021
Infections with pathogenic bacteria entering the mammary gland through the teat canal are the most common cause of mastitis in dairy cows; therefore, sustaining the integrity of the teat canal and its adjacent tissues is critical to resist infection....
Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases.
Environmental science and pollution research international
Feb 10, 2021
The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak of PM is of great importance in terms of public health, medical resource allocation, and policy decision support. Recently, the machine learning method...
Deep learning for the fully automated segmentation of the inner ear on MRI.
Scientific reports
Feb 3, 2021
Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visualization, surgical planning, and quantitative image analysis. Manual segmentation is time-consuming and deals with intra and inter-observer variability. To dev...
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