Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Suicide is a leading cause of death that defies prediction and challenges prevention efforts worldwi...
Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become insufficient i...
In the gastroenterology field, the impact of artificial intelligence was investigated for the purpos...
As an important task in digital preventive healthcare management, especially in the secondary preven...
In this paper, the protocol-based remote state estimation problem is considered for a kind of delaye...
Social Robots need to communicate in a way that feels natural to humans if they are to effectively b...
BACKGROUND AND PURPOSE: Hereditary diffuse leukoencephalopathy with spheroids (HDLS) and multiple sc...
Since the beginning of the history of transplants, numerous difficulties have been faced in the effe...
The coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being contro...
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain ...
Real-time risk assessment for work-related musculoskeletal disorders (MSD) has been a challenging re...
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population incl...
Assessing the well-being of an animal is hindered by the limitations of efficient communication betw...
Affective communication, communicating with emotion, during face-to-face communication is critical f...
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modal...
Numerous nature inspired algorithms have been suggested to enable robotic swarms, mobile sensor netw...
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Q...
RATIONALE AND OBJECTIVES: Misdiagnosis of intracranial hemorrhage (ICH) can adversely impact patient...
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced hi...
The service quality and system dependability of real-time communication networks strongly depends on...
There have been prior attempts to utilize machine learning to address issues in the medical field, p...