Clinical orthopaedics and related research
Nov 1, 2020
BACKGROUND: Preliminary experience suggests that deep learning algorithms are nearly as good as humans in detecting common, displaced, and relatively obvious fractures (such as, distal radius or hip fractures). However, it is not known whether this a...
OBJECTIVE: Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas.
Journal of autism and developmental disorders
Nov 1, 2020
Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning me...
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.
Speed is essential in wildlife surveys due to the dynamic movement of animals throughout their environment and potentially extreme changes in weather. In this work, we present a multirobot path-planning method for conducting aerial surveys over large...
RATIONALE: Computer-assisted detection (CAD) systems based on artificial intelligence (AI) using convolutional neural network (CNN) have been successfully used for the diagnosis of unruptured cerebral aneurysms in experimental situations. However, it...
The journals of gerontology. Series B, Psychological sciences and social sciences
Oct 16, 2020
OBJECTIVES: Socially assistive robots (SARs) need to be studied from older adults' perspective, given their predicted future ubiquity in aged-care settings. Current ethical discourses on SARs in aged care are uninformed by primary stakeholders' ethic...
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Oct 8, 2020
We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperativ...
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