Emergency Medicine

[Comparison of curative effect between Tianji robot assisted screw placement and traditional cannulated screw internal fixation for femoral neck fracture].

OBJECTIVE: To investigate the clinical efficacy and advantages of Tianji orthopedic robot assisted c...

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.

We sought to determine whether machine learning and natural language processing (NLP) applied to ele...

Comparison of Surgical Outcome of Bipolar Scissors with Conventional Cold Dissection Tonsillectomy.

Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Diff...

ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science.

Toxicology has undergone a transformation from an observational science to a data-rich discipline ri...

Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap.

The interaction between sunlight and drugs can lead to phototoxicity in patients who have received s...

Machine learning technologies in CT-based diagnostics and classification of intracranial hemorrhages.

This review discusses pooled experience of creation, implementation and effectiveness of machine lea...

[Computational toxicology in drug safety research].

The progress of computational toxicology (CompTox) in drug safety research is highly anticipated. Co...

Assessment of artificial intelligence-aided reading in the detection of nasal bone fractures.

BACKGROUND: Artificial intelligence (AI) technology is a promising diagnostic adjunct in fracture de...

Machine learning models predicting undertriage in telephone triage.

BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine l...

Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage.

OBJECTIVE: Artificial intelligence (AI)-based triage algorithms may improve cancer detection and exp...

[Effectiveness of modified orthopedic robot-assisted percutaneous kyphoplasty in treatment of osteoporotic vertebral compression fracture].

OBJECTIVE: To evaluate the effectiveness of orthopedic robot with modified tracer fixation (short fo...

Machine Learning and Artificial Intelligence in Toxicological Sciences.

Machine learning and artificial intelligence approaches have revolutionized multiple disciplines, in...

[Development and clinical application of robot-assisted technology in traumatic orthopedics].

OBJECTIVE: To review and evaluate the basic principles and advantages of orthopedic robot-assisted t...

Artificial Intelligence Meets Toxicology.

Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how.

Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing method...

Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency depar...

[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].

OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learni...

Development of Needle Guide Unit Considering Buckling Bone-Perforation Control Strategy Based on Computed Tomography-Guided Needle Insertion Robot.

A computed tomography (CT)-guided robotic assistance system is useful for needle insertion into meta...

Treatment of the hook of hamate fracture with robot navigation: A note on technique.

OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the ...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harves...

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.

Artificial intelligence processes are increasingly being used in emergency medicine, notably for sup...