Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Showing 967-987 of 5,236 articles
Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis.

A metabolic bone disease characterized by decreased bone formation and increased bone resorption is ...

Artificial intelligence (AI)-it's the end of the tox as we know it (and I feel fine).

The rapid progress of AI impacts diverse scientific disciplines, including toxicology, and has the p...

IUPHAR Review: New strategies for medications to treat substance use disorders.

Substance use disorders (SUDs) and drug overdose are a public health emergency and safe and effectiv...

"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals.

Numerous COVID-19 diagnostic imaging Artificial Intelligence (AI) studies exist. However, none of th...

Cracking the Code: The Role of Peripheral Nervous System Signaling in Fracture Repair.

PURPOSE OF REVIEW: The traditionally understated role of neural regulation in fracture healing is ga...

Role of the Neurologic System in Fracture Healing: An Extensive Review.

PURPOSE OF REVIEW: Despite advances in orthopedics, there remains a need for therapeutics to hasten ...

Artificial intelligence across oncology specialties: current applications and emerging tools.

Oncology is becoming increasingly personalised through advancements in precision in diagnostics and ...

Predicting cervical intraepithelial neoplasia and determining the follow-up period in high-risk human papillomavirus patients.

PURPOSE: Despite strong efforts to promote human papillomavirus (HPV) vaccine and cervical cancer sc...

The Use of Artificial Intelligence in Writing Scientific Review Articles.

PURPOSE OF REVIEW: With the recent explosion in the use of artificial intelligence (AI) and specific...

Segmentation and classification of skin burn images with artificial intelligence: Development of a mobile application.

AIM: This study was conducted to determine the segmentation, classification, object detection, and a...

Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.

INTRODUCTION: Decades of research have established the association between adverse childhood experie...

Using AI to Write a Review Article Examining the Role of the Nervous System on Skeletal Homeostasis and Fracture Healing.

PURPOSE OF REVIEW: Three review articles have been written that discuss the roles of the central and...

Perioperative Fluid and Vasopressor Therapy in 2050: From Experimental Medicine to Personalization Through Automation.

Intravenous (IV) fluids and vasopressor agents are key components of hemodynamic management. Since t...

The probable future of toxicology - probabilistic risk assessment.

Both because of the shortcomings of existing risk assessment methodologies, as well as newly availab...

Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT.

OBJECTIVES: To compare diagnostic accuracy of a deep learning artificial intelligence (AI) for cervi...

A Deep-Learning Model for Diagnosing Fresh Vertebral Fractures on Magnetic Resonance Images.

BACKGROUND: The accurate diagnosis of fresh vertebral fractures (VFs) was critical to optimizing tre...

TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity.

Despite being extremely relevant for the protection of prenatal and neonatal health, the development...

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