AIMC Topic: Surveys and Questionnaires

Clear Filters Showing 861 to 870 of 1354 articles

US primary care in 2029: A Delphi survey on the impact of machine learning.

PloS one
OBJECTIVE: To solicit leading health informaticians' predictions about the impact of AI/ML on primary care in the US in 2029.

Acceptance of patients towards task-autonomous robotic cochlear implantation: An exploratory study.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Recently, task-autonomous image-guided robotic cochlear implantation has been successfully completed in patients. However, no data exist on patients' perspective of this new technology. The aim of this study was to evaluate the acceptance...

[Digital transformation in residential old age institutions].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: Residential old age institutions are currently undergoing a digital transformation process, which is characterized by an orientation towards increasing digitalization of work processes as well as the institutional infrastructure. But what...

Artificial intelligence as an analytic approximation to evaluate associations between parental feeding behaviours and excess weight in Colombian preschoolers.

The British journal of nutrition
Parental practices can affect children's weight and BMI and may even be related to a high prevalence of obesity. Therefore, the aim of this study was to evaluate the relationship between parents' practices related to feeding their children and excess...

Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Journal of diabetes research
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...

[Acceptance of assistive robots in the field of nursing and healthcare : Representative data show a clear picture for Germany].

Zeitschrift fur Gerontologie und Geriatrie
In view of the ageing society and the high costs of support and care in private households, the question arises as to what role assistive robots can play. This article focuses on the extent to which robots in nursing are accepted by the adult populat...

Fuzzy logic programming and adaptable design of medical products for the COVID-19 anti-epidemic normalization.

Computer methods and programs in biomedicine
BACKGROUND: The COVID-19 prevention and control constantly affects lives worldwide. In this paper, household medical products were analyzed using fuzzy logic. Considering the household anti-epidemic status, economic and environmental benefits, the ad...

Using Machine Learning to Generate Novel Hypotheses: Increasing Optimism About COVID-19 Makes People Less Willing to Justify Unethical Behaviors.

Psychological science
How can we nudge people to not engage in unethical behaviors, such as hoarding and violating social-distancing guidelines, during the COVID-19 pandemic? Because past research on antecedents of unethical behavior has not provided a clear answer, we tu...

Users with spinal cord injury experience of robotic Locomotor exoskeletons: a qualitative study of the benefits, limitations, and recommendations.

Journal of neuroengineering and rehabilitation
BACKGROUND: Persons with spinal cord injury (SCI) may experience both psychological and physiological benefits from robotic locomotor exoskeleton use, and knowledgeable users may have valuable perspectives to inform future development. The objective ...