Latest AI and machine learning research in military medicine for healthcare professionals.
Good judgment remains fundamental to clinical decision-making, and yet it is increasingly augmented by data and artificial intelligence (AI). Although AI holds promise for real-time clinical-decision support, its impact on patient care has been modest. The principal limitation is not algorithmic capability but the quality, structure, and completeness of the data available for training and deployme...
A number of processes and pathways have been reported in the development of Post-Traumatic Stress Disorder (PTSD), however, novel biomarkers need to b...
INTRODUCTION: Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction too...
Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care. This clinician-focused review synthesizes current...
Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dysfunction, high comorbidity rates, and substantial...
Artificial intelligence (AI) powered mobile health (mHealth) apps are emerging as vital self-triage tools for skin cancer detection. By utilizing smar...
Sleep disorders, like insomnia and sleep apnea, affect millions globally and negatively impact health and well-being. Traditional barriers such as geo...
Myasthenia gravis (MG), a fluctuating autoimmune neuromuscular disease, presents unique challenges for remote assessment due to its reliance on detail...
Background Facial analysis tools can assist in diagnosing rare genetic syndromes, but their accuracy is limited in ultra-rare conditions and underrepr...
Diagnosis, positioned between disease prevention and treatment, is essential for head and neck cancer management. Delays in diagnosis contribute to di...
BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial ...
The rapid integration of artificial intelligence in healthcare, accelerated by the Trump administration's 2025 AI Action Plan and private sector innov...
BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geograp...
Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, enabling improvements in diagnostic accuracy, ther...
The integration of artificial intelligence (AI) and machine learning (ML) into laboratory medicine shows promise for advancing diagnostic, prognostic,...
BACKGROUND: Flexible wearable medical devices drive healthcare transformation via non-invasive, real-time physiological monitoring and personalized ma...
The growing interest in affective computing has resulted in substantial advancements in emotion recognition through the application of various machine...
Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and...
Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opportunities for enhanced diagnostic precision and pers...