Latest AI and machine learning research in military medicine for healthcare professionals.
PURPOSE: Healthcare systems around the world are increasingly facing severe challenges due to problems such as staff shortage, changing demographics and the reliance on an often strongly human-dependent environment. One approach aiming to address these issues is the development of new telemedicine applications. The currently researched network standard 6G promises to deliver many new features whic...
The field of ophthalmology is rapidly advancing, with technological innovations enhancing the diagnosis and management of eye diseases. Tele-ophthalmology, or the use of telemedicine for ophthalmology, has emerged as a promising solution to improve access to eye care services, particularly for patients in remote or underserved areas. Despite its potential benefits, tele-ophthalmology faces signifi...
The convergence of the Internet of Things (IoT) with e-health records is creating a new era of advancements in the diagnosis and treatment of disease,...
The emergence of telemedicine and artificial intelligence (AI) has set the stage for a possible revolution in the future of medicine and neurology inc...
This paper outlines the protocol for the deployment of a cloud-based universal medical image repository system. The proposal aims not only at the depl...
The informal settlements of Nairobi have higher neonatal and infant mortality rates than the average for Nairobi. Universal access to important diagno...
BACKGROUND: Deployment and access to state-of-the-art precision medicine technologies remains a fundamental challenge in providing equitable global ca...
Clinical informatics, which combines health information technology and clinical expertise, aims to improve health care delivery and outcomes. For cand...
Digital health is significantly transforming stroke care, particularly in remote and economically diverse regions, by harnessing mobile and wireless t...
A large language model (LLM) is an artificial intelligence (AI) model that uses natural language processing (NLP) to understand, interpret, and genera...
In this review, we embark on a comprehensive exploration of venous thromboembolism (VTE) in the context of medical history and its current practice wi...
Human activity recognition (HAR) is a crucial task in various applications, including healthcare, fitness, and the military. Deep learning models have...
As the burgeoning field of Artificial Intelligence (AI) continues to permeate the fabric of healthcare, particularly in the realms of patient surveill...
This article reviews technological advances and global trends in the diagnosis, treatment, and monitoring of cardiovascular diseases. A bibliometric a...
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the world, but its impact on people's mental health h...
Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in hea...
Precision and personalized medicine, the process by which patient management is tailored to individual circumstances, are now terms that are familiar ...
Type 2 diabetes mellitus (T2DM), a complex metabolic disorder that burdens the health care system, requires early detection and treatment. Recent stri...
The virtual reality (VR) is an application in which people can interact each other with their own avatars. Metaverse has already been tested in numero...