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Anxiety

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[Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE: In recent years, due to the development of accelerated recovery after surgery and day surgery in the field of surgery, the average length-of-stay of patients has been shortened and patients stay at home for post-surgical recovery and heali...

Artificial Intelligence and Health Care: What's to Worry?

Telemedicine journal and e-health : the official journal of the American Telemedicine Association

Pilot Mental Health, Methodologies, and Findings: A Systematic Review.

Aerospace medicine and human performance
Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, where the copilot intentionally crashed the aircraft into the French Alps, killing all on board. An investigation of this incident found that the pilot...

The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
The purpose of paper is to investigate the depression and anxiety as well as independent influential factors between patients who underwent Da Vinci robot-assisted radical gastrectomy and radical gastrectomy. This study is a partially randomized pati...

Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
At present, only professional doctors can use the professional scales to diagnose depression and anxiety in clinical practice. In recent years, the problems of detecting the presence of anxiety or depression using Electroencephalography (EEG) has rec...

Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.

Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.

International psychogeriatrics
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.

[Theoretical Review of Robot Anxiety].

Psychiatria Hungarica : A Magyar Pszichiatriai Tarsasag tudomanyos folyoirata
The aim of the study is to describe the effect of robot anxiety. The forming of the concept and the description of similar constructs, like technological anxiety and computer anxiety, is presented through a historical review. Given our current knowle...

Social Robots for Hospitalized Children.

Pediatrics
BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational contexts, but their use in inpatient pediatric settings has not been demonstrated in studies. In this study, we aimed to (1) describe the introduction ...