Military Medicine

Telemedicine network latency management system in 5G telesurgery: a feasibility and effectiveness study.

BACKGROUND: Network latency is the most important factor affecting the performance of telemedicine. The aim of the study is to assess the feasibility and efficacy of a novel network latency management system in 5G telesurgery.

Importance of Hospital Infection Control.

The increasing demand for healthcare-acquired infection (HAI) control practices and services has intensified the need to evaluate care quality. The World Health Organization (WHO) introduced an infection prevention and control (IPC) framework to mitigate the impact of HAIs, crucial for ensuring patient safety in hospitals. HAIs acquired after hospitalization pose significant challenges due to fact...

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis.

Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's deadliest diseases. Most deaths are among persons with TB ...

Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?

Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-spe...

How Can the Clinical Aptitude of AI Assistants Be Assayed?

Large language models (LLMs) are exhibiting remarkable performance in clinical contexts, with exemplar results ranging from expert-level attainment in...

Skin Inclusion: Addressing Deficits in Medical Education to Promote Diversity in Dermatological Diagnosis and Treatment.

Dermatological conditions impact many people globally, including those with melanin-rich skin. However, insufficient medical education contributes to ...

Digital solutions and health sciences.

Digitalization is the conversion of analog data and information to a digital format based on bits. Digitalization allows information to be managed in ...

Crisis averted: a world united against the menace of multiple drug-resistant superbugs -pioneering anti-AMR vaccines, RNA interference, nanomedicine, CRISPR-based antimicrobials, bacteriophage therapies, and clinical artificial intelligence strategies to safeguard global antimicrobial arsenal.

The efficacy of antibiotics and other antimicrobial agents in combating bacterial infections faces a grave peril in the form of antimicrobial resistan...

Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneo...

Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention.

This pioneering study aims to revolutionize self-symptom management and telemedicine-based remote monitoring through the development of a real-time wh...

A Chinese telemedicine-dialogue dataset annotated for named entities.

BACKGROUND: A large collection of dialogues between patients and doctors must be annotated for medical named entities to build intelligence for teleme...

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensive Care Unit (ICU). Incidence of delirium can sign...

A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.

The complex relationships between continuously monitored health signals and therapeutic regimens can be modelled via machine learning. However, the cl...

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.

Wearable sensors provide a tool for at-home monitoring of motor impairment progression in neurological conditions such as Parkinson's disease (PD). Th...

Feasibility and Safety of 5G-Based Telerobotic Abdominal Ultrasonography.

OBJECTIVE: Telemedicine can offer services to remote patients regardless of the distance. Fifth-generation (5G) mobile networks may make telemedicine ...

Artificial Intelligence and Postoperative Monitoring in Plastic Surgery.

Technological innovation has fueled an evolving landscape in plastic surgery. Recently, artificial intelligence (AI) has demonstrated tremendous poten...

Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.

Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential factor in refractive errors and is associated with sev...

Development and validation of a convolutional neural network to identify blepharoptosis.

Blepharoptosis is a recognized cause of reversible vision loss and a non-specific indicator of neurological issues, occasionally heralding life-threat...

Leveraging telemedicine in gastroenterology and hepatology: a narrative review.

BACKGROUND AND OBJECTIVE: Over the years, telemedicine has played a prominent role in delivering healthcare to patients. Due to its flexibility and ma...

Addressing the challenges of AI-based telemedicine: Best practices and lessons learned.

Telemedicine is the use of technology to provide healthcare services and information remotely, without requiring physical proximity between patients a...