Latest AI and machine learning research in military medicine for healthcare professionals.
CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of the most common mental disorders. Early mental disorder detection can reduce costs for public health agencies and prevent other major comorbidities. Additionally, the shortage of specialized personnel is very concerning since depression diagnosis is highly dependent on expert professionals and is tim...
The rapid growth of Android applications has led to an increase in security threats, while traditional detection methods struggle to combat advanced malware, such as polymorphic and metamorphic variants. To address these challenges, this study introduces a hybrid deep learning model (DBN-GRU) that integrates Deep Belief Networks (DBN) for static analysis and Gated Recurrent Units (GRU) for dynamic...
The digital transformation of healthcare is revolutionizing the management of medical institutions, improving operational efficiency, patient outcomes...
Reinforcement learning (RL) has shown great promise in simulated environments, such as games, where failures have minimal consequences. However, the...
Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging w...
As Large Language Models (LLMs) demonstrate exceptional performance across various domains, deploying LLMs on edge devices has emerged as a new tren...
The rapid identification of medical emergencies through digital communication channels remains a critical challenge in modern healthcare delivery, p...
Artificial Intelligence (AI) is a broad field that is upturning mental health care in many ways, from addressing anxiety, depression, and stress to ...
Physical adversarial attacks in driving scenarios can expose critical vulnerabilities in visual perception models. However, developing such attacks ...
The integration of artificial intelligence [AI] into clinical trials has revolutionized the process of drug development and personalized medicine. A...
The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, enhanced medication adherence, and chronic disease ...
With the rapid advancement of artificial intelligence and deep learning, medical image analysis has become a critical tool in modern healthcare, sig...
Machine learning-based embedded systems employed in safety-critical applications such as aerospace and autonomous driving need to be robust against ...
The success of precision medicine requires computational models that can effectively process and interpret diverse physiological signals across hete...
Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatology, with promising results for diagnosing skin canc...
Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical condition encountered frequently in daily life, formi...
There is growing excitement about the clinical use of artificial intelligence and machine learning (ML) technologies. Advancements in computing and th...
AI has made significant strides recently, leading to various applications in both civilian and military sectors. The military sees AI as a solution ...
The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for ensuring both effective medical diagnosis and pat...
To help MLOps engineers decide which operator to use in which deployment scenario, this study aims to empirically assess the accuracy vs latency tra...