Latest AI and machine learning research in military medicine for healthcare professionals.
With the rapid advancement of artificial intelligence and deep learning, medical image analysis has become a critical tool in modern healthcare, significantly improving diagnostic accuracy and efficiency. However, AI-based methods also raise serious privacy concerns, as medical images often contain highly sensitive patient information. This review offers a comprehensive overview of privacy-prese...
Machine learning-based embedded systems employed in safety-critical applications such as aerospace and autonomous driving need to be robust against perturbations produced by soft errors. Soft errors are an increasing concern in modern digital processors since smaller transistor geometries and lower voltages give electronic devices a higher sensitivity to background radiation. The resilience of d...
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...
Large language models (LLMs) represent a transformative class of AI tools capable of revolutionizing various aspects of healthcare by generating hum...
As mental health care systems worldwide struggle to meet demand, there is increasing focus on using language models to infer neuropsychiatric condit...
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic dis...
Large Language Models (LLMs) stand on the brink of reshaping the field of aging and dementia care, challenging the one-size-fits-all paradigm with the...
Among the rapid integration of artificial intelligence in clinical settings, large language models (LLMs), such as Generative Pre-trained Transformer-...
We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare industry. Through a systematic search in the Factiv...
Heart failure poses a significant global health burden with high prevalence and mortality rates. A promising possibility in this context is the consta...
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for...
Hyper-Spectral Imaging (HSI) is a crucial technique for analysing remote sensing data acquired from Earth observation satellites. The rich spatial a...
Appropriate channel models tailored to the specific needs of industrial environments are crucial for the 5G private industrial network design and gu...
This paper explores the integration of Cybertwin technology within 6G networks to revolutionize healthcare delivery. It aims to enhance real-time mo...