Emergency Medicine

Prediction of death in burn patients infected with antibiotic-resistant Staphylococcus aureus using machine learning based techniques.

Multiscale characterization of micro fracture connectivity and gas migration in volcanic reservoirs using µCT and hybrid learning segmentation.

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosis. However, the role of hypothalamic subregions - ...

Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study.

This study aimed to develop and validate a machine learning-based model for predicting 24-hour mortality in critically ill patients using prehospital ...

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-assessment tools identify only a fraction of women wh...

Pullulan-based semi-interpenetrating network hydrogel sensor for artificial intelligence-driven pressure recognition.

Hydrogel sensors have gained significant attention in recent years due to their ability to detect various stimuli. This work first employs a "one-pot ...

NPSA 2025 Presidential Address:Innovation, clinical translation, and leadership in surgery: From concept to impact.

Innovation is frequently invoked as an essential driver of progress in modern surgery, yet its definition, implementation, and leadership aspects rema...

Machine learning for hemodynamic instability prediction and hemorrhage management in trauma and perioperative care.

PURPOSE OF REVIEW: Hemodynamic instability and uncontrolled hemorrhage remain leading causes of preventable morbidity and mortality in trauma and peri...

Real-time, artificial intelligence-guided intraoperative resuscitation and fluid management in trauma anesthesia.

PURPOSE OF REVIEW: To synthesize recent advances in intraoperative resuscitation for trauma surgery, including fluid composition, transfusion threshol...

Re-envisioning the North American Biodosimetry Assessment Networking Group.

The RNCP/NIAID recommends the creation of a North American Biodosimetry Assessment Networking Group (BANG) by developing a blueprint for integrating t...

Facing the Silent Crisis: Suicidal Ideation and Suicide in the Nursing Profession.

BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide within the nursing profession. Despite being one of...

Clinical impact of adopting an AI-driven opportunistic bone health screening software using routine X-ray.

OBJECTIVES: To evaluate the clinical impact of an artificial intelligence device, Rho, that opportunistically screens X-rays for low bone mineral dens...

Artificial intelligence on opportunistic computed tomography for predicting vertebral fracture risk in women undergoing estrogen deprivation therapy for breast cancer.

PURPOSE: Fracture risk prediction in women exposed to hormone deprivation therapies (HDTs) for breast cancer is challenging, since bone mineral densit...

Training the diagnostic artificial intelligence in thyroid sonography: how well is deep learning truly learning?

INTRODUCTION: The use of artificial intelligence (AI) for TI-RADS classification in neck sonography for the assessment of thyroid nodules has been pro...

Surgical Robotic System for Precision Femoral Fracture Reduction.

Malalignment after femoral fracture repair remains common, with up to one-third of patients experiencing malrotations. Manual femoral fracture reducti...

Computerized Self-Reported Medical History Taking to Support Early Rule Out of Major Adverse Cardiac Events in Patients With Acute Chest Pain: Post Hoc Analysis of the CLEOS-CPDS Prospective Cohort Study.

BACKGROUND: Self-reported, computerized history taking (CHT) may enable efficient collection of medical histories for acute chest pain management. OBJ...

The human metabolome and machine learning improves predictions of the post-mortem interval.

An accurate prediction of the time since death, known as the post-mortem interval, remains a critical research question in forensic and police investi...

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images.

Retinal detachment (RD) is a serious ocular disease that can lead to permanent vision loss. In cases with fundus-obscuring vitreous hemorrhage (VH), i...

Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients.

BACKGROUND: Accurate health assessments in the Emergency Department are critical for guiding treatment decisions. However, these assessments are often...

Characterization of acoustic emission parameters and identification of staged fracture propagation in solidified body-coal combination based on experimental and machine learning approaches.