Emergency Medicine

Artificial intelligence in virtual fracture clinics: a systematic review of imaging and clinical-text tools.

BACKGROUND: Virtual fracture clinics (VFCs) are a well-established component of acute orthopedic management pathways. Artificial intelligence (AI) healthcare tools are increasingly sophisticated and have the potential to disrupt current practices. The aim of this review was to determine the opportunities, performance and readiness of AI systems that integrate clinical-text and imaging data for the...

Development and validation of interpretable machine learning models for predicting long-term functional outcomes in elderly patients with aneurysmal subarachnoid hemorrhage.

BACKGROUND: Accurate prognostication in elderly patients with aneurysmal subarachnoid hemorrhage (aSAH) remains challenging due to high morbidity and mortality. This study aimed to develop and externally validate interpretable machine learning (ML) models for predicting 12-month functional outcomes. METHODS: Data from 426 consecutive elderly aSAH patients at the primary center were randomly split ...

Remote sensing analysis of forest fire impacts on ecosystem productivity, greenhouse gas emissions, and fire risk in Pakistan.

This study investigates the spatial variability of forest fire intensity, burn indices, ecosystem productivity, and Greenhouse Gas (GHG) emissions in ...

A large language model for complex cardiology care.

The scarcity of subspecialist medical expertise poses a considerable challenge for healthcare delivery. This issue is particularly acute in cardiology...

Comparative analysis of key phagocytic genes in humans and mice using machine learning integrated with single-cell RNA sequencing.

Microglial phagocytosis is essential for neurological recovery after intracerebral hemorrhage (ICH). Using single-cell RNA sequencing, we compared mic...

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model.

Cervical spondylosis is one of the most common degenerative diseases, seriously affecting life quality. Unlike diseases with explicit lesions like can...

MARVpred: machine learning prediction of inhibitors targeting Marburg virus Gene 4 Small ORF protein.

The Marburg virus (MARV), responsible for severe hemorrhagic fevers with mortality rates as high as 90%, remains a significant public health threat. T...

Large-scale proteomic profiling identifies distinct inflammatory phenotypes in acute respiratory distress syndrome: a multicentre, prospective cohort study.

BACKGROUND: Host responses during acute respiratory distress syndrome are highly heterogeneous, contributing to inconsistent therapeutic outcomes. Pro...

Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models.

BACKGROUND: As Singapore adopts a population health approach under Healthier Singapore (Healthier SG), optimizing healthcare resources is crucial. We ...

De novo biosynthesis of eriocitrin in Saccharomyces cerevisiae through deep learning-guided enzyme screening and systematic metabolic engineering.

Eriocitrin, a flavanone-7-O-disaccharide known for its antioxidant and anti-inflammatory properties, holds considerable promise for use in functional ...

The application of artificial intelligence in cryopreservation: Technological advances and future challenges.

This review systematically sorts out the latest research progress and application status of artificial intelligence (AI) technology in the field of cr...

Temporal Evolution in Toxicity Drivers of Shale Gas Flowback and Produced Water: Bridging Compositional Dynamics to Risk Prediction.

Flowback and produced water (FPW) from shale gas extraction poses significant environmental risks due to its complex chemical composition. To address ...

Video-based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review.

Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource-limited settings. This narrative review explore...

Forensic Transcriptomics: Research Progress of the Past Two Decades.

Over the last two decades, advancements in sequencing technology and data science have significantly deepened the study of transcriptomics, especially...

Evaluation of an artificial intelligence model for the identification of obstructive hydrocephalus on computed tomography of the head.

OBJECTIVE: Obstructive hydrocephalus is a critical radiographic finding requiring emergent treatment. Its identification on head CT by an AI model cou...

Clinical Profile of Neurosurgical Consultations from the Emergency Department : A Retrospective Analysis.

OBJECTIVE: This study aimed to retrospectively analyze consultations requested from the emergency departments (EDs) to the neurosurgery (NS) departmen...

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored-product beetle.

BACKGROUND: Managing stored-grain pests requires new strategies to limit economic and health risks. This study analyses the sublethal effects of the n...

Fracture risk scores using output from an opportunistic screen of low bone density from conventional X-ray.

Fracture risk is commonly assessed by FRAX, a tool that estimates 10-yr risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are o...

Spine age derived from DXA vertebral fracture assessment images predicts incident fractures and mortality: the Manitoba Bone Mineral Density Registry.

Biological age may better predict health outcomes than chronological age by capturing individual heterogeneity in aging. We investigated whether accel...

K-MIMIC: a nationwide Korean multi-institutional Multimodal intensive care dataset.

BACKGROUND: Recent advancements in critical care have highlighted the need for comprehensive, multimodal datasets to support clinical decision-making ...