Emergency Medicine

Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Brain stroke is an illness which affects almost every age group, particularly people over 65. There ...

Deep learning in rib fracture imaging: study quality assessment using the Must AI Criteria-10 (MAIC-10) checklist for artificial intelligence in medical imaging.

OBJECTIVES: To analyze the methodological quality of studies on deep learning (DL) in rib fracture i...

The urinary microbiome distinguishes symptomatic urinary tract infection from asymptomatic older adult patients presenting to the Emergency department.

Older adults suffer from a high rate of asymptomatic bacteriuria (ASB), in which urinalysis may appe...

Exposotypes in psychotic disorders.

Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction c...

Effects of Mono- (2-ethylhexyl) phthalate and Phthalic Acid Monobenzyl Ester on endometriosis using network toxicology, machine learning and molecular docking techniques.

Phthalate metabolites Mono- (2-ethylhexyl) phthalate(MEHP) and Phthalic Acid Monobenzyl Ester (MBZP)...

Comparative performance of ChatGPT, Gemini, and final-year emergency medicine clerkship students in answering multiple-choice questions: implications for the use of AI in medical education.

BACKGROUND: The integration of artificial intelligence (AI) into medical education has gained signif...

Assessing Revisit Risk in Emergency Department Patients: Machine Learning Approach.

BACKGROUND: Overcrowded emergency rooms might degrade the quality of care and overload the clinic st...

Comment on "Validation of syncope short-term outcomes prediction by machine learning models in an Italian emergency department cohort".

Current applications of deep learning in vertebral fracture diagnosis.

Deep learning is a machine learning method that mimics neural networks to build decision-making mode...

Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques.

BACKGROUND: In emergency departments, residents and physicians interpret X-rays to identify fracture...

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose ...

"Computational Prediction of Mutagenicity Through Comprehensive Cell Painting Analysis".

The mutagenicity of chemical compounds is a key consideration in toxicology, drug development, and e...

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional f...

Impact of anthropogenic disturbance and climate on bamboo distribution in shifting cultivation landscapes of Northeast India.

Bamboo, a multipurpose plant species found in tropical and subtropical regions, covers about 1% of t...

Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for ...

A machine learning approach for significant utilization of high-ash Indian coals by metal chloride modification.

A continuous and dependable energy supply is essential for maintaining a nation's economic stability...

Development and Pilot Testing of an Artificial Intelligence and Care Coach Intervention for Cognitively Impaired Older Adults.

BACKGROUND: Care transitions from the emergency department (ED) to community settings are particular...

Evaluation of an Artificial Intelligence and Online Psychotherapy Initiative to Improve Access and Efficiency in an Ambulatory Psychiatric Setting: Évaluation d'une initiative de psychothérapie en ligne basée sur l'intelligence artificielle visant à améliorer l'accès et l'efficacité en milieu psychiatrique ambulatoire.

ObjectivesThis study aimed to implement an artificial intelligence-assisted psychiatric triage progr...

Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model.

OBJECTIVE: This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNe...

Can AI match emergency physicians in managing common emergency cases? A comparative performance evaluation.

BACKGROUND: Large language models (LLMs) such as ChatGPT are increasingly explored for clinical deci...

Higher glass transition temperatures reduce thermal stress cracking in aqueous solutions relevant to cryopreservation.

Cryopreservation by vitrification could transform fields ranging from organ transplantation to wildl...