Emergency Medicine

Automated hemodynamic management system for the prevention of hypotension and cardiac output reduction during general anesthesia: preclinical experimental validation.

PURPOSE: Intraoperative hypotension and cardiac output (CO) reduction adversely affect outcomes and require cause-specific treatment against vasodilation and/or hemorrhage. However, tight hemodynamic management increases anesthesiologists' workloads. We aimed to develop an automated hemodynamic management system that maintains arterial pressure (AP) and CO according to the causes, and to experimen...

A two-stage deep learning system for cervical spine fracture diagnosis: integrating 3D segmentation and 2.5D classification on CT images.

Machine learning prediction of common bile duct stones using synthetic data to guide emergency ERCP decisions.

Endoscopic retrograde cholangiopancreatography (ERCP) remains the standard for common bile duct (CBD) stone removal. However, current guidelines often...

Artificial intelligence for battlefield triage in large-scale combat operations: Opportunities, limits, and ethical considerations.

Large-scale combat operations (LSCOs) impose major constraints on battlefield medical systems, combining sustained casualty inflow, degraded communica...

Unraveling the toxicological impact of Bisphenol A exposure on dermatomyositis: An integration of network toxicology and machine learning approaches.

BACKGROUND: Dermatomyositis is a common immune-mediated skin disorder whose pathogenesis has not been fully elucidated. Environmental factors play a k...

Structure-Informed Comprehensive Screening and Risk Prioritization of Organophosphorus Compounds in Human Serum: Revealing the Hidden Burden and Emerging Risks.

Organophosphorus compounds (OPCs) are widely distributed environmental contaminants for which there are increasing health concerns, yet human internal...

Integrating network toxicology, machine learning, and experimental evidence reveals candidate targets and pathways in PCDD/F-related colon cancer.

Previous studies have suggested that exposure to carcinogenic polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) pollutants...

Practical Integration of Bedside Real-Time Lung Ultrasound and Electrical Impedance Tomography for Guiding Personalized Perioperative Lung Protective Ventilation in Cardiothoracic and Vascular Anesthesia.

Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of s...

WGCNA and machine learning identify mitochondria programmed cell death-related genes as diagnostic biomarkers for septic shock.

Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in ...

Artificial intelligence in orthopedic trauma surgery: a scoping review of current applications and research gaps.

Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.

Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the population. Their rupture can cause subarachnoid hemorrha...

Lower limb and feet wound image dataset.

A comprehensive wound-related image repository was developed to address critical gaps in existing medical imaging resources, particularly the lack of ...

Network toxicology and machine learning revealed the association between non-alcoholic fatty liver disease induced by polystyrene nanoplastics.

This study systematically evaluated the hepatotoxic potential of common microplastic monomers using ADMETlab 3.0, identifying styrene (PubChem ID: 750...

Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: a retrospective analysis of a prospectively collected multicenter registry.

Accelerated Brain Aging in Young Women with Posttraumatic Stress Disorder.

Posttraumatic stress disorder (PTSD) has been associated with structural brain alterations, suggesting accelerated brain aging. Evidence from peripher...

Comparison of GPT-4 omni and physicians for accurate evaluation of traumatic extremity x-rays: A feasibility study.

GPT-4 omni (GPT-4o) is the latest version of Chat-GPT, developed by OpenAI, which provides image interpretation capabilities. In trauma patients, x-ra...

Kenyan Neonatal Mortality Risk Predictor: Protocol for a User-Centered Design Evaluation.

BACKGROUND: Neonatal mortality remains a major public health challenge in low- and middle-income countries (LMICs), particularly in sub-Saharan Africa...

Artificial Intelligence-Assisted Pediatric Trauma Triage: Promising Innovation or Premature Implementation?

Impact of an artificial intelligence-driven triage system on workflow and transfer efficiency: stratified analysis of 4548 admissions to four thrombectomy hubs receiving transfers from sixty spokes.

BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled acute ischaemic stroke triage system on workflow e...

Deciphering pharmaceutical resistance in sulfur-driven autotrophic denitrification: an integrated multi-omics artificial intelligence-driven structural biology approach.

Sulfur-driven autotrophic denitrification (SdAD) is a promising low-carbon technology for nitrogen removal; however, its stability and adaptive mechan...