Latest AI and machine learning research in military medicine for healthcare professionals.
As the numbers of older people (65 +) rise globally, the pressure on acute hospitals to provide efficient and effective care while addressing resource inequities increases. In this study we introduce Recognising Episodes of Acute Complexity in Health (REACH), a novel Automatic Machine Learning (AutoML)-based predictive model that prioritises older patients and assigns them to complex or non-comple...
BACKGROUND: Heads-up 3D surgery is becoming increasingly more important in ophthalmic microsurgery. Digital 3D visualization systems supplement traditional binocular microscopes by high-resolution monitor presentations and enable improved depth perception, ergonomics, team communication and teaching. OBJECTIVE: This review aims to summarize the development, current evidence, technical features, ad...
UNLABELLED: Translating artificial intelligence (AI) research in orthopedics from proof-of-concept studies into production-grade clinical systems requ...
AIM: To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around...
BACKGROUND: The integration of machine learning (ML) into clinical laboratory medicine offers new opportunities for quality improvement. Models are no...
BACKGROUND: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 week...
Artificial intelligence (AI) has not seen the clinical uptake that might be expected from a technology that has received so much attention and investm...
Post-traumatic stress disorder (PTSD) is a highly prevalent, trauma-induced psychiatric condition characterized by persistent cognitive-affective dysf...
Pre-deployment validation is commonly used to establish the safety and effectiveness of clinical artificial intelligence systems, but acceptable valid...
BACKGROUND: Early identification of diabetic retinopathy (DR), which is a primary cause of vision impairment globally, is a crucial phasis for effecti...
INTRODUCTION: In future large-scale combat operations, military medics will likely face staggering numbers of casualties in the face of resource const...
Artificial intelligence (AI) demonstrates potential throughout the cancer care continuum, with evidence supporting its application in medical imaging ...
PURPOSE: Automated surgical instrument segmentation is a prerequisite for AI-assisted guidance in endoscopic spine surgery. Deployment-realistic compa...
Portable, low-field (LF) magnetic resonance imaging (MRI) is emerging as a clinically relevant adjunct in acute stroke care, enabling MRI in environme...
BACKGROUND: Generative artificial intelligence (GenAI), particularly large language models (LLMs), is being integrated into healthcare documentation, ...
BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due to barriers to systematic screening and the relian...
BACKGROUND: Patients undergoing invasive procedures frequently experience anxiety and often have unanswered questions regarding the procedure. Althoug...
BACKGROUND: Musculoskeletal conditions are a leading global cause of disability, yet the factors influencing long-term musculoskeletal health, particu...
OBJECTIVE: This study evaluated sequential multi-site fine-tuning of large language models (LLMs), simulating incremental deployment across institutio...
BACKGROUND: Mortality risk prediction for elderly intensive care unit (ICU) patients with severe infections remains challenging due to limited sample ...