Latest AI and machine learning research in surveys for healthcare professionals.
The field of social robotics offers an unprecedented opportunity to probe the process of impression formation and the effects of identity-based stereotypes (e.g. about gender or race) on social judgements and interactions. We present the concept of fair proxy communication-a form of robot-mediated communication that proceeds in the absence of potentially biasing identity cues-and describe how this...
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization of AI to efficiently deal with these data, which have become fundamental resources for a machine to learn by itself. Among several DL models, the convolutional...
Commercially available artificial intelligence (AI) algorithms outside of health care have been shown to be susceptible to ethnic, gender, and social ...
Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A huge amount of high dimensional and complex structu...
In this chapter, a new method to evaluate the reliability of predicting new uses of existing drugs was proposed. The prediction was performed with a s...
After working at Apple designing circuits and signal processing algorithms for products including the first iPad, Timnit Gebru (Figure 1) received her...
Multifunctional genes are important genes because of their essential roles in human cells. Studying and analyzing multifunctional genes can help under...
Motivated by the great potential of deep learning in medical imaging, we propose an iterative positron emission tomography reconstruction framework us...
Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), although it is a pillar of risk management, has a ...
In this paper, we propose a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for...
The assistive robot system adaptive head motion control for user-friendly support (AMiCUS) has been developed to increase the autonomy of motion impai...
Surgical traineeship has traditionally been based on a master apprentice model where learning takes place in the operating theatre. This approach has ...
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitment. However, "official" ICD encoded diagnoses used ...
In this study, we aimed to teach elementary school students how to practically deal with elderly people with dementia and developed and evaluated teac...
This article describes the content of and delivery methods for motor learning (ML) education and the attitudes and beliefs of instructors with regard...
Changes in dietary patterns may partly explain the epidemic of asthma in industrialized countries. The objective of this study was to examine the rela...
Transfer entropy holds promise to advance our understanding of animal behavior, by affording the identification of causal relationships that underlie ...
This paper presents the results of two surveys conducted with users of a functional upper extremity orthosis called the Wilmington Robotic EXoskeleton...
OBJECTIVE The accuracy of robot-guided pedicle screw placement has been proven to be high, but little is known about the impact of such guidance on cl...
UNLABELLED: Accurate assessments of both physical activity and sedentary behaviors are crucial to understand the health consequences of movement patte...