Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
This work was part of a National Institute for Health Research participatory action research and practice development study, which focused on the use of a therapeutic, robotic baby seal (PARO, for personal assistive robot) in everyday practice in a single-site dementia unit in Sussex. From the beginning of January 2017 until the end of September 2017, the cleaning and cleanliness of PARO was monit...
OBJECTIVE: This study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry.
BACKGROUND: Deaf people use sign or finger languages for communication, but these methods of communication are very specialized. For this reason, the ...
This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have ...
RATIONALE: Central nervous system (CNS) aspergillosis has the characteristics of multifocality, polymorphism, and coexistence of pathological types, a...
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data...
The majority of children with autism face difficulties in social interaction and communication skills. Consequently, in this paper we present a pilot ...
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predict...
Patient falls are a common safety event type that impairs the healthcare quality. Strategies including solution tools and reporting systems for preven...
Automated identification provides an efficient way to categorize patient safety incidents. Previous studies have focused on identifying single inciden...
To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY), a computer-aided training platform with a biofe...
State-of-the-art neuron simulators are capable of simulating at most few tens/hundreds of neurons in real-time due to the exponential growth in the co...
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral phenotype as well as clinical, physiologic, and patholo...
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading caus...
BACKGROUND: The November 2010 Joint Commission Sentinel Event Alert on the prevention of suicides in medical/surgical units and the emergency departme...
OBJECTIVE: Many scattered resources of knowledge are available to use for chemical accident prevention purposes. The common approach to management pro...
In Japan, the population is expected to decrease. Moreover, the proportion of elderly people living alone among the elderly population is expected to ...
The term 'quorum sensing' describes intercellular bacterial communication which regulates bacterial gene expression according to population cell densi...
As predicted by fuzzy-trace theory, people with a range of training—from untrained adolescents to expert physicians—are susceptible to biases and erro...