Latest AI and machine learning research in military medicine for healthcare professionals.
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnostic techniques and personalized medicine. This is also seen in osseous biopsies. AI applications in radiomics, histopathology, predictive modelling, biopsy navigation, and interdisciplinary communication are reshaping how bone biopsies are conducted and interpreted. We provide a brief review of AI in ...
The deployment of AI in medical imaging, particularly in areas such as fracture detection, represents a transformative advancement in orthopaedic care. AI-driven systems, leveraging deep-learning algorithms, promise to enhance diagnostic accuracy, reduce variability, and streamline workflows by analyzing radiograph images swiftly and accurately. Despite these potential benefits, the integration of...
Although still limited, the integration of artificial intelligence (AI) in health care has rapidly expanded in the past few years, especially in oncol...
Deep learning (DL) has the potential to deliver significant clinical benefits. In recent years, an increasing number of DL-based systems have been app...
Retinal imaging has emerged as a powerful, non-invasive modality for detecting and quantifying biomarkers of systemic diseases-ranging from diabetes...
Foundation models like CLIP (Contrastive Language-Image Pretraining) have revolutionized vision-language tasks by enabling zero-shot and few-shot le...
Transformer-based models have shown strong performance across diverse time-series tasks, but their deployment on resource-constrained devices remain...
Transformer-based models have shown strong performance across diverse time-series tasks, but their deployment on resource-constrained devices remain...
Can small language models with 0.5B to 5B parameters meaningfully engage in trauma-informed, empathetic dialogue for individuals with PTSD? We addre...
BACKGROUND: Telemedicine, which incorporates artificial intelligence such as chatbots, offers significant potential for enhancing health care delivery...
Over the years, ComBAT has become the standard method for harmonizing MRI-derived measurements, with its ability to compensate for site-related addi...
Suicide remains one of the main preventable causes of death among active service members and veterans. Early detection and prediction are crucial in...
Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the...
This study analyzes 159 master's theses in Medical Informatics from the University of Porto, spanning 2006 to 2023, to identify key trends, thematic f...
Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that arises in response to exposure to a traumatic event. ...
Background: There are many challenges and opportunities in the clinical deployment of AI tools in radiology. The current study describes a radiology...
The integration of large language models (LLMs) into health care offers tremendous opportunities to improve medical practice and patient care. Beside...
Patient recruitment remains a major bottleneck in clinical trials, calling for scalable and automated solutions. We present TrialMatchAI, an AI-powe...
Natural gas, as a vital component of the global energy structure, is widely utilized as an important strategic resource and essential commodity in var...
Artificial intelligence (AI) has shown effectiveness in various industries, particularly within healthcare sectors. In Nepal, there are limited insigh...