Emergency Medicine

Robotic management of severe hemorrhage during para-aortic lymph node dissection.

Adaptive variable impedance position/force tracking control of fracture reduction robot.

BACKGROUND: The operation object of robot-assisted fracture reduction surgery is the musculoskeletal...

Intelligent robot-assisted minimally invasive reduction system for reduction of unstable pelvic fractures.

OBJECTIVE: Currently, minimally invasive internal fixation is recommended for the surgical treatment...

Intelligent injury prediction for traumatic airway obstruction.

Airway obstruction is one of the crucial causes of death in trauma patients during the first aid. It...

Predicting prognosis of primary pontine hemorrhage using CT image and deep learning.

Prognosis of primary pontine hemorrhage (PPH) is important for treatment planning and patient manage...

A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair.

INTRODUCTION: The use of biologic adjuvants (orthobiologics) is becoming commonplace in orthopaedic ...

A Natural Language Processing and Machine Learning Approach to Identification of Incidental Radiology Findings in Trauma Patients Discharged from the Emergency Department.

STUDY OBJECTIVE: Patients undergoing diagnostic imaging studies in the emergency department (ED) com...

Artificial intelligence fracture recognition on computed tomography: review of literature and recommendations.

PURPOSE: The use of computed tomography (CT) in fractures is time consuming, challenging and suffers...

Self-fulfilling prophecies and machine learning in resuscitation science.

INTRODUCTION: Growth of machine learning (ML) in healthcare has increased potential for observationa...

Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.

BACKGROUND: Outliers and class imbalance in medical data could affect the accuracy of machine learni...

Introduction to the Theme "Development of New Drugs: Moving from the Bench to Bedside and Improved Patient Care".

Investigations in pharmacology and toxicology range from molecular studies to clinical care. Studies...

Predicting mortality in the very old: a machine learning analysis on claims data.

Machine learning (ML) may be used to predict mortality. We used claims data from one large German in...

CORR Insights®: Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.

Biological signatures and prediction of an immunosuppressive status-persistent critical illness-among orthopedic trauma patients using machine learning techniques.

BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying patho...

Robotic esophagectomy and 3-field lymphadenectomy with intraoperative nerve monitoring.

The standard of care for esophageal malignancies has evolved over the years from open transthoracic ...

Optimal planar leg geometry in robots and crabs for idealized rocky terrain.

Natural terrain is uneven so it may be beneficial to grasp onto the depressions or 'valleys' between...

Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm.

OBJECTIVES: To evaluate deep neural networks for automatic rib fracture detection on thoracic CT sca...

Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery.

Predicting recovery after trauma is important to provide patients a perspective on their estimated f...

Using Artificial Intelligence for Predicting the Duration of Emergency Evacuation During Hospital Fire.

OBJECTIVE: A danger threatening hospitals is fire. The most important action following a fire is to ...

Emergency Information Communication Structure by Using Multimodel Fusion and Artificial Intelligence Algorithm.

With the development of The Times, social events are increasing, and emergency management has gradua...

The Impact of Cultural Embeddedness on the Implementation of an Artificial Intelligence Program at Triage: A Qualitative Study.

INTRODUCTION: Triage requires rapid determination of acuity and resources. Current modalities allow ...