AIMC Topic: Surveys and Questionnaires

Clear Filters Showing 1551 to 1560 of 1624 articles

Exploring the Influential Factors of Consumers' Willingness Toward Using COVID-19 Related Chatbots: An Empirical Study.

Medical archives (Sarajevo, Bosnia and Herzegovina)
BACKGROUND: Consumers' willingness to use health chatbots can eventually determine if the adoption of health chatbots will succeed in delivering healthcare services for combating COVID-19. However, little research to date has empirically explored inf...

Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires.

The Journal of the Acoustical Society of America
The COVID-19 outbreak was announced as a global pandemic by the World Health Organization in March 2020 and has affected a growing number of people in the past few months. In this context, advanced artificial intelligence techniques are brought to th...

A UK-Wide Study Employing Natural Language Processing to Determine What Matters to People about Brain Health to Improve Drug Development: The Electronic Person-Specific Outcome Measure (ePSOM) Programme.

The journal of prevention of Alzheimer's disease
BACKGROUND: It is important to use outcome measures for novel interventions in Alzheimer's disease (AD) that capture the research participants' views of effectiveness. The electronic Person-Specific Outcome Measure (ePSOM) development programme is un...

Can occupational therapy manpower be replaced with social robots in a singing group during COVID-19?

Work (Reading, Mass.)
BACKGROUND: Prior to the COVID-19 global health emergency, reducing direct contacts between therapists and patients is an important issue, and could be achieved by using robots to perform certain caring activities.

An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...

Biomedical named entity recognition and linking datasets: survey and our recent development.

Briefings in bioinformatics
Natural language processing (NLP) is widely applied in biological domains to retrieve information from publications. Systems to address numerous applications exist, such as biomedical named entity recognition (BNER), named entity normalization (NEN) ...

Clinical Laboratory Employees' Attitudes Toward Artificial Intelligence.

Laboratory medicine
OBJECTIVE: The objective of this study was to determine the attitudes of laboratory personnel toward the application of artificial intelligence (AI) in the laboratory.

Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography.

BMJ health & care informatics
BACKGROUND: Up to half of all musculoskeletal injuries are investigated with plain radiographs. However, high rates of image interpretation error mean that novel solutions such as artificial intelligence (AI) are being explored.

The importance of introducing artificial intelligence to the medical curriculum - assessing practitioners' perspectives.

Croatian medical journal
AIM: To assess the attitude about the importance of introducing education on artificial intelligence (AI) in medical schools' curricula among physicians whose everyday job is significantly impacted by AI.

Counting penguins with drones.

Science robotics
A multidrone path-planning algorithm enables drones to scout Adélie penguin colonies in Antarctica.