Latest AI and machine learning research in military medicine for healthcare professionals.
Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and efficiency...
In the present report, we have broadly outlined the potential advances in the field of skull base su...
BACKGROUND: Though lifetime exposure to traumatic events is significant, only a minority of individu...
The rapid increase in telemedicine coupled with recent advances in diagnostic artificial intelligenc...
With the advancement of computational power, refinement of learning algorithms and architectures, an...
This paper describes the evolving role of robotics in healthcare and allied areas with special conce...
By adopting and extending lessons from the air traffic control system, we argue that a nationwide re...
This study aims to assess the feasibility of autonomous cochlear implant (CI) fitting by adult CI r...
Intrinsic connectivity networks (ICNs), including the default mode network (DMN), the central execut...
Growing evidence indicates a reciprocal relationship between low-grade systemic inflammation and str...
: Innovative assistive technology can address aging-in-place and caregiving needs of individuals wit...
The introduction of ultrawide field imaging has allowed the visualization of approximately 82% of th...
Through information and communication technology, telemedicine can deliver medical care without tim...
Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Postt...
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
Physicians have been performing the art of medicine for hundreds of years, and since the ancient era...
To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) bea...
The blood flow through the major vessels holds great diagnostic potential for the identification of ...
Individuals with post-traumatic stress disorder (PTSD) typically experience states of reliving and h...
BACKGROUND: The development of optimal classification criteria for specific mental disorders which s...