Latest AI and machine learning research in emergency medicine for healthcare professionals.
Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Different methods have been used to improve the outcome of the surgery. One such method is tonsillectomy performed with bipolar scissors. In our scenario, the comparison of bipolar scissors tonsillectomy with conventional cold dissection has not been done. Objective To compare the surgical outcomes of b...
BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction models have yet been developed for prehospital telephone triage. We developed and validated machine learning models for telephone triage.
OBJECTIVE: Artificial intelligence (AI)-based triage algorithms may improve cancer detection and expedite radiologist workflow. To this end, the perfo...
OBJECTIVE: To evaluate the effectiveness of orthopedic robot with modified tracer fixation (short for modified orthopedic robot) assisted percutaneous...
Machine learning and artificial intelligence approaches have revolutionized multiple disciplines, including toxicology. This review summarizes represe...
OBJECTIVE: To review and evaluate the basic principles and advantages of orthopedic robot-assisted technology, research progress, clinical application...
IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) ...
Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from e...
In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harvesting is not so easy because of small exposure and ...
OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the fracture of the hook of hamate.
A computed tomography (CT)-guided robotic assistance system is useful for needle insertion into metastatic carcinoma of vertebrae, which has limited p...
Falls associated injuries often result not only increasing the medical-, social- and care-cost but also loss of mobility, impair chronic health and ev...
OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage v...
Artificial intelligence processes are increasingly being used in emergency medicine, notably for supporting clinical decisions and potentially improvi...
Patients with deep burns are prone to suffer cicatrix hyperplasia or contracture, leading to problems including dysfunction in limbs, which impacts pa...
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient ...
OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techniques in lieu of early definitive fracture fixatio...
The patient was an 82-year-old woman with localized muscle-invasive bladder cancer, who underwent robot-assisted radical cystectomy and cutaneous uret...
The acceptance of artificial intelligence (AI) systems by health professionals is crucial to obtain a positive impact on the diagnosis pathway. We eva...