Latest AI and machine learning research in military medicine for healthcare professionals.
The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people's homes. These include the costs associated with having to install and maintain a large number of sensors, and the pragmatics of annotating numerous sensor data streams for activity classification. Our aim was therefore to propose a method to describe individual...
OBJECTIVES: Posttraumatic stress disorder (PTSD) is associated with hypothalamus-pituitary-adrenal (HPA) axis response to stressors, but links to neurophysiological and neuroanatomical changes are unclear. The purpose of this study was to determine whether stress-induced cortisol alters negative feedback on pituitary corticotroph function and pituitary volume.
Technology has advanced rapidly in recent years and is continuing to do so, with associated changes in multiple areas, including hospital structure an...
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The incons...
PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma survivors. Numerous risk indicators of PTSD have ...
PURPOSE: Telemedicine is increasingly utilized in the evaluation of critically ill patients, including those with decreased level of consciousness (LO...
This paper presents a new study based on a machine learning technique, specifically an artificial neural network, for predicting systolic blood pressu...
OBJECTIVES: This paper presents a remote triage support algorithm as a part of a complex military telemedicine system which provides continuous monito...
BACKGROUND: Healthcare systems in industrialized countries face the challenge of providing care for a growing number of elderly people. Information te...
Flexible probes that are safely deployed to hard-to-reach targets while avoiding critical structures are strategic in several high-impact application ...
Telemedicine helps to deliver health services electronically to patients with the advancement of communication systems and health informatics. Chronic...
Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which p...
Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In med...
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to gui...
Current medical information systems are too complex to be meaningfully exploited. Hence there is a need to develop new strategies for maximising the e...
Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective instability (AI) in the daily lives of outpatients wit...
BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensive care unit (TICU) clinician teamwork (i.e., team...
BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted prevention. Current research has identified group-level ri...
BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities, regardless of geography. We hypothesized that th...
Visual place recognition (VPR) is a key enabler of accurate localization and long-term autonomous navigation in robotics applications, such as loop cl...