Latest AI and machine learning research in military medicine for healthcare professionals.
BACKGROUND: Cannabis use disorder (CUD) commonly co-occurs with depression, post-traumatic stress disorder (PTSD), anxiety, and attention-deficit/hyperactivity disorder (ADHD), resulting in poorer outcomes and underscoring the need for tailored interventions. Contingency management (CM) is one of the most effective behavioral treatments for substance use disorders, and emerging applications of art...
BACKGROUND: Artificial intelligence (AI) is transforming health care by enhancing diagnostics, improving patient outcomes, and reducing administrative burdens through advanced algorithms, with applications in medical imaging, virtual care, and automated data analysis. However, its role in palliative and hospice care remains underexplored. AIM: This review synthesizes research on AI applications in...
Nail diseases, including fungal infections and malignancies, pose significant health risks and may lead to severe complications if not accurately diag...
OBJECTIVE: This study aimed to retrospectively analyze consultations requested from the emergency departments (EDs) to the neurosurgery (NS) departmen...
Fatigue is a common clinical symptom, and its complex pathophysiological mechanisms markedly affect the quality of life and social function of patient...
BACKGROUND: Therapeutic emesis (TE), known as vamana karma, is a classical method of detoxification performed to eliminate vitiated kapha (bio-humor g...
OBJECTIVES: To report on the feasibility of a simultaneous, enterprise-wide deployment of EHR-integrated ambient scribe technology across a large acad...
BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic diseases. Effective wound care is often hindered b...
Neurological disorders of the brain and spinal cord affect millions of individuals worldwide and continue to rise in prevalence. Conditions such as Al...
Wearable biosensors leverage microfluidic technology for precise biofluid sampling and directional transport, and utilize electrical or optical sensin...
OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...
Recent advances in digital technology are remarkable, and they are driving profound transformations in healthcare and medical research. Within this co...
BACKGROUND: Health care artificial intelligence (AI) systems are increasingly integrated into clinical workflows, yet remain vulnerable to data-poison...
BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (...
Deep learning (DL) applications in healthcare are expanding beyond proof-of-concept studies. Yet, the extent of its real-world implementation and impa...
In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot applications to a structured and fully reimbursed co...
Forecasting carbon dioxide (CO2) emissions has become a significant issue in recent years. International organizations have emphasized the necessity o...
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery mod...
IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are assoc...