AIMC Topic: Evaluation Studies as Topic

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An Artificial Intelligence System to Predict Quality of Service in Banking Organizations.

Computational intelligence and neuroscience
Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly c...

Evaluation Studies of Robotic Rollators by the User Perspective: A Systematic Review.

Gerontology
BACKGROUND: Robotic rollators enhance the basic functions of established devices by technically advanced physical, cognitive, or sensory support to increase autonomy in persons with severe impairment. In the evaluation of such ambient assisted living...

Recurrence quantification analysis and support vector machines for golf handicap and low back pain EMG classification.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
The quantification of non-linear characteristics of electromyography (EMG) must contain information allowing to discriminate neuromuscular strategies during dynamic skills. There are a lack of studies about muscle coordination under motor constrains ...

Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

Environmental science and pollution research international
The present investigation deals with the prediction of the performance of simultaneous anaerobic sulfide and nitrate removal in an upflow anaerobic sludge bed (UASB) reactor through an artificial neural network (ANN). Influent sulfide concentration, ...

AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.

Journal of computer assisted tomography
OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course.

Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Conversational agents (CAs) with emerging artificial intelligence present new opportunities to assist in health interventions but are difficult to evaluate, deterring their applications in the real world. We aimed to synthesize existing e...

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To conduct a systematic scoping review of explainable artificial intelligence (XAI) models that use real-world electronic health record data, categorize these techniques according to different biomedical applications, identify gaps of curr...

Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.

Journal of digital imaging
In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post-processing ...