AIMC Topic: Surveys and Questionnaires
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An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude.
European radiology
Mar 20, 2021
OBJECTIVES: Radiologists' perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists and residents in Europe and beyond.
Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answering Model: Model Development Study.
Journal of medical Internet research
Mar 19, 2021
BACKGROUND: COVID-19 has challenged global public health because it is highly contagious and can be lethal. Numerous ongoing and recently published studies about the disease have emerged. However, the research regarding COVID-19 is largely ongoing an...
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 ...
Are We Ready for Video Recognition and Computer Vision in the Intensive Care Unit? A Survey.
Applied clinical informatics
Feb 24, 2021
OBJECTIVE: Video recording and video recognition (VR) with computer vision have become widely used in many aspects of modern life. Hospitals have employed VR technology for security purposes, however, despite the growing number of studies showing the...
Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.
Journal of medical Internet research
Feb 23, 2021
BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world. These factors can contribute to patient anxiety about misdiagnosis by clinicians...
Diagnostic Techniques and Procedures
Diagnosis
Patient Preference
Choice Behavior
Humans
Artificial Intelligence
Pandemics
COVID-19
Middle Aged
China
Adolescent
Aged, 80 and over
Surveys and Questionnaires
Physicians
Time Factors
Latent Class Analysis
Young Adult
Logistic Models
Female
Adult
Health Expenditures
SARS-CoV-2
Male
Aged
Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives.
Journal of medical Internet research
Feb 17, 2021
BACKGROUND: Artificial intelligence (AI) is gaining increasing importance in many medical specialties, yet data on patients' opinions on the use of AI in medicine are scarce.
Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.
Acta orthopaedica
Feb 12, 2021
Background and purpose - Machine learning (ML) techniques are a form of artificial intelligence able to analyze big data. Analyzing the outcome of (digital) questionnaires, ML might recognize different patterns in answers that might relate to differe...
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is a challenging problem for radiologists in health monitoring and automated diagnosis. Recently, numerous methods based on deep learning have been pres...
A Survey of the Usages of Deep Learning for Natural Language Processing.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This article provides a brief introduction to the field and a quick overview of deep learning archite...
Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach.
Scientific reports
Jan 28, 2021
We aimed to delineate the neuropsychological and psychopathological profiles of children with congenital heart disease (CHD) and look for associations with clinical parameters. We conducted a prospective observational study in children with CHD who u...
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