Latest AI and machine learning research in military medicine for healthcare professionals.
BACKGROUND: Peritoneal dialysis (PD) naturally lends itself to artificial intelligence (AI) integration due to its generation of dense, longitudinal and structured data. PD outcomes are strongly influenced by modifiable factors such as dialysate composition, dwell time, and fluid balance, making prediction directly actionable. SUMMARY: Recent investigations have demonstrated the potential of machi...
Low-dose CT (LDCT) lung cancer screening significantly reduces mortality but has dramatically increased the detection of pulmonary nodules. Most of these nodules are benign, leading to a high false-positive rate that triggers unnecessary invasive procedures and patient anxiety, underscoring the need for more precise noninvasive diagnostic tools. Critically, single-modality liquid biopsy biomarkers...
Artificial intelligence (AI) tools for digital pathology have crossed the threshold from pilot project to clinical deployment, with regulatory approva...
Accurate detection of blood cells-red blood cells, white blood cells, and platelets-is essential for diagnosing hematological disorders such as anemia...
OBJECTIVE: Endodontic education requires structured clinical reasoning practise, but resource constraints often limit the delivery of case-based instr...
OBJECTIVE: Restoring intuitive and natural hand control remains a key challenge in neuroprosthetics. A promising approach is to decode continuous fing...
Digital nucleic acid amplification enables absolute molecular quantification by partitioning samples into thousands of micro-reactions, yet current an...
BACKGROUND: Medical education faces increasing demand for scalable grading solutions. Large language models have been proposed as automated graders fo...
RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of survival of patients in need of emergent care. Medi...
Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care capacity and demand. However, fe...
Injuries in elite sports disrupt team performance, shorten careers, and incur significant financial costs, highlighting the critical need for accurate...
Antimicrobial resistance (AMR) continues to outpace development of new therapeutics. Many interventions focus on treating infection after it occurs, b...
Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder worldwide, with projections exceeding 25 million people by 2050. Its burden...
Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic resonance imaging (MRI), yet meaningful clinical deplo...
Fetal congenital heart disease (FCHD) remains a leading cause of infant mortality globally, yet the clinical deployment of deep learning models for au...
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflo...
The rising adoption of cryptocurrencies has been paralleled by the emergence of cryptojacking malware, malicious software that covertly hijacks comput...
Artificial intelligence (AI), specifically generative AI, presents opportunities to advance equity through transformative practices in cardiovascular ...
OBJECTIVE: Artificial intelligence (AI) is increasingly integrated into radiology, but pediatric imaging remains underrepresented in implementation st...
Weed pressure causes global crop yield losses of 10-34%, while the deployment of deep learning-based weed detection systems at scale remains constrain...