Latest AI and machine learning research in emergency medicine for healthcare professionals.
Nasal bone fractures represent the most common facial skeletal injury, challenging both function and...
Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinic...
The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent ...
Toxicological evaluation of industrial chemicals with a broad range of chemical structures, for exam...
Artificial intelligence (AI) is increasingly integrated into health care, offering potential benefit...
Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opport...
Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) r...
Emergency Rooms (ERs) are at the center of various optimization research due to the growing number o...
Cervical cancer stands out among various cancers due to its potential for prevention and eradication...
This article aims to review the literature, study the current situation of using 3D images and artif...
BACKGROUND: Fracture healing is a complex, time-dependent process governed by biological and mechani...
OBJECTIVE: To determine the performance of a commercially available AI tool for fracture detection w...
BACKGROUND AND PURPOSE: Â Treatment-related shared decision-making (SDM) in older adults with hip fra...
PURPOSE: To assess the impact of a commercially available computed tomography (CT)-based artificial ...
Deepfakes are hyper-realistic but fabricated videos created with the use of artificial intelligence....
Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model that integrates r...
Risk of bias is a critical factor influencing the reliability and validity of toxicological studies,...
Features of new bleeding on conventional imaging in cerebral cavernous malformations (CCMs) often di...
The research aimed to develop a validated model for predicting the risk of linezolid-induced thrombo...
OBJECTIVES: The aim of this study is to validate the effectiveness of an AI tool trained on Indian d...