Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
BACKGROUND AND PURPOSE: Hereditary diffuse leukoencephalopathy with spheroids (HDLS) and multiple sclerosis (MS) are demyelinating and neurodegenerative disorders that can be hard to distinguish clinically and radiologically. HDLS is a rare disorder compared to MS, which has led to occurrent misdiagnosis of HDLS as MS. That is problematic since their prognosis and treatment differ. Both disorders ...
Since the beginning of the history of transplants, numerous difficulties have been faced in the effective implementation of this therapeutic practice, especially with regard to the transplantation of solid organs and their teaching and training, together with the time of removal and transplantation of the organ that directly influences the results of the transplant surgical procedure. The objectiv...
The coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being controlled in China, but it is still spreading rapidly i...
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurologic...
Real-time risk assessment for work-related musculoskeletal disorders (MSD) has been a challenging research problem. Previous methods such as using dep...
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among yo...
Assessing the well-being of an animal is hindered by the limitations of efficient communication between humans and animals. Instead of direct communic...
Affective communication, communicating with emotion, during face-to-face communication is critical for social interaction. Advances in artificial inte...
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detect...
Numerous nature inspired algorithms have been suggested to enable robotic swarms, mobile sensor networks and other multi-agent systems to exhibit vari...
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language pro...
RATIONALE AND OBJECTIVES: Misdiagnosis of intracranial hemorrhage (ICH) can adversely impact patient outcomes. The increasing workload on the radiolog...
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities includ...
The service quality and system dependability of real-time communication networks strongly depends on the analysis of monitored data, to identify concr...
There have been prior attempts to utilize machine learning to address issues in the medical field, particularly in diagnoses using medical images and ...
As a result of several years of European funding, progressive introduction of assistive technologies in our society has provided many researchers and ...
In this paper, the l-l state estimation problem is addressed for a class of delayed artificial neural networks under high-rate communication channels ...
Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and specialists over an extensive period of time. Communic...
Communication is a core component of effective healthcare that impacts many patient and doctor outcomes, yet is complex and challenging to both analys...
Hospital-acquired infections remain a common cause of morbidity and mortality despite advances in infection prevention through use of bundles, environ...