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Exposotypes in psychotic disorders.

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

Trauma-predictive brain network connectivity adaptively responds to mild acute stress.

Past traumatic experiences shape neural responses to future stress, but the mechanisms underlying th...

The evolution of research in orthopedic robotic surgery: global trends and future directions.

Robotic surgery enhances precision in orthopedic and trauma procedures like joint replacements and b...

Comments on "deep learning for kidney trauma detection: CT image algorithm performance and external validation. - experimental study".

Predicting Traumatic Brain Injury Post-Trauma Using Temporal Attention on Sleep-Wake Data.

BACKGROUND: Traumatic Brain Injury (TBI) is a major public health concern, and accurate classificati...

Comparative Performance Analysis of AI Engines in Answering American Board of Surgery In-Training Examination Questions: A Multi-Subspecialty Evaluation.

BackgroundThe rapid advancement of artificial intelligence (AI) has led to its increasing applicatio...

Rapid trauma classification under data scarcity: an emergency on-scene decision model combining natural language processing and machine learning.

Trauma has become a major cause of increased morbidity and mortality worldwide. In emergency respons...

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.

Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) r...

Promising for patients or deeply disturbing? The ethical and legal aspects of deepfake therapy.

Deepfakes are hyper-realistic but fabricated videos created with the use of artificial intelligence....

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, us...

Humans versus machine learning models: improving the outcome of trauma patients.

Pediatric Maxillofacial Trauma: Machine Learning Based Predictive Modeling to Identify Trauma Patterns.

AIM: To analyze the characteristics of pediatric facial trauma and predict factors influencing them ...

Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study.

BACKGROUND: Machine learning could improve the timely identification of trauma patients in need of h...

Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.

OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the...

A Machine Learning Trauma Triage Model for Critical Care Transport.

IMPORTANCE: Under austere prehospital conditions, rapid classification of injured patients for inter...

From Fragile Lives to Forensic Truth: Multimodal Forensic Approaches to Pediatric Homicide and Suspect Death.

Forensic investigation of child homicides presents unique challenges due to the vulnerability of ch...

Dental Trauma Evo - Development of an Artificial Intelligence-powered Chatbot to Support Professional Management of Dental Trauma.

INTRODUCTION: Dental trauma is a public health issue that requires proper clinical management to min...

"Perfusion Assessment of Healthy and Injured Hands Using Video-Based Deep Learning Models".

BACKGROUND: Assessing in-field hand trauma is challenging, and inaccurate perfusion assessment can s...

Gasdermin D drives the systemic storm and mortality after trauma with hemorrhage to a greater degree in biological females than males.

Severe injury accompanied by hemorrhagic shock triggers an early release of cell constituents into t...

Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma vi...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic h...