Emergency Medicine

[Application and research progress of artificial intelligence technology in trauma treatment].

OBJECTIVE: To review the application and research progress of artificial intelligence (AI) technolog...

Robust Multi-View Fracture Detection in the Presence of Other Abnormalities Using HAMIL-Net.

INTRODUCTION: Foot and ankle fractures are the most common military health problem. Automated diagno...

Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence.

INTRODUCTION: Between 5% and 20% of all combat-related casualties are attributed to burn wounds. A d...

DOES GALLIC ACID HAVE A POTENTIAL REMEDIAL EFFECT IN EXPERIMENTAL CORROSIVE BURN INJURY TO THE ESOPHAGUS?

Gallic acid, acting as an antioxidant, anti-precipitant and cytoprotective agent, was used as a poss...

Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study.

Background Breast screening enables early detection of cancers; however, most women have normal mamm...

Deep Learning for Automated Triaging of Stable Chest Radiographs in a Follow-up Setting.

Background Most artificial intelligence algorithms that interpret chest radiographs are restricted t...

Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms.

Background Artificial intelligence (AI) algorithms have shown high accuracy for detection of pulmona...

Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.

IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing...

[Robot-assisted PVP for the treatment of osteoporotic fractures of the upper thoracic vertebra].

OBJECTIVE: To investigate the clinical effect of "Tianji" orthopedic robot-assisted percutaneous ver...

Perceptions of Artificial Intelligence-Assisted Care for Children With a Respiratory Complaint.

OBJECTIVES: To evaluate caregiver opinions on the use of artificial intelligence (AI)-assisted medic...

Intelligent decision support in medical triage: are people robust to biased advice?

BACKGROUND: Intelligent artificial agents ('agents') have emerged in various domains of human societ...

Clinical Investigation of a Rapid Non-invasive Multispectral Imaging Device Utilizing an Artificial Intelligence Algorithm for Improved Burn Assessment.

Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Cont...

Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data.

Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms wit...

Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology.

The European Society of Toxicologic Pathology (ESTP) initiated a survey through its Pathology 2.0 wo...

The ChatGPT Era: Artificial Intelligence in Emergency Medicine.

Artificial intelligence may enhance emergency triage and management.

The entry of Artificial Intelligence (AI) into Intensive Care has become a reality. We think that on...

Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study.

Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time ...

Diagnosis Classification in the Emergency Room Using Natural Language Processing.

Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural ...

Profiling mechanisms that drive acute oral toxicity in mammals and its prediction via machine learning.

We present a mechanistic machine-learning quantitative structure-activity relationship (QSAR) model ...

Automatic Identification and Segmentation of Orbital Blowout Fractures Based on Artificial Intelligence.

PURPOSE: The incidence of orbital blowout fractures (OBFs) is gradually increasing due to traffic ac...

OPTIMIZATION OF PRE-HOSPITAL FIRST AID MANAGEMENT STRATEGIES FOR PATIENTS WITH INFECTIOUS DISEASES IN HUIZHOU CITY USING DEEP LEARNING ALGORITHM.

The aim of the study was to optimize the pre-hospital first aid management strategy for patients wit...