Emergency Medicine

Urban Flooding Prediction Method Based on the Combination of LSTM Neural Network and Numerical Model.

At present, urban flood risk analysis and forecasting and early warning mainly use numerical models ...

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology.

How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve...

A review of advances in image-guided orthopedic surgery.

Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumber...

[Computer-assisted procedures in orthopedics and trauma surgery-Where do we stand?].

Computer-assisted procedures are becoming increasingly more relevant in orthopedics and trauma surge...

Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey.

BACKGROUND: Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based appli...

A deep learning model for prognosis prediction after intracranial hemorrhage.

BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is a common life-threatening condition that mu...

Assessing machine learning approaches for predicting failures of investigational drug candidates during clinical trials.

One of the major challenges in drug development is having acceptable levels of efficacy and safety t...

Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review.

INTRODUCTION: Patient-operated digital triage systems with AI components are becoming increasingly c...

Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry.

BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of p...

Chestnut-Tannin-Crosslinked, Antibacterial, Antifreezing, Conductive Organohydrogel as a Strain Sensor for Motion Monitoring, Flexible Keyboards, and Velocity Monitoring.

Flexible sensing devices (FSDs) fabricated using conductive hydrogels have attracted researchers' ex...

Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model.

Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment...

Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human-Robot Architecture for Search and Rescue.

The roles of emergency responders are challenging and often physically demanding, so it is essential...

Bone collision detection method for robot assisted fracture reduction based on vibration excitation.

BACKGROUND AND OBJECTIVE: In the process of robotic fracture reduction, there is a risk of unintende...

An Integrated Quantitative Risk Assessment Method for Underground Engineering Fires.

Fires are one of the main disasters in underground engineering. In order to comprehensively describe...

A review on tissue-needle interaction and path planning models for bevel tip type flexible needle minimal intervention.

A flexible needle has emerged as a crucial clinical technique in contemporary medical practices, par...

TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity.

Herein, a robust and reproducible eXplainable Artificial Intelligence (XAI) approach is presented, w...

Remote orthopedic robotic surgery: make fracture treatment no longer limited by geography.

[New technologies and robotics].

The development of increasingly more complex computer and electromotor technologies enables the incr...

A strong and tough gelatin/polyvinyl alcohol double network hydrogel actuator with superior actuation strength and fast actuation speed.

Hydrogels are widely used in actuators that are applied in numerous fields such as multifunctional s...

Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea.

BACKGROUND: Physical trauma-related mortality places a heavy burden on society. Estimating the morta...

A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage.

OBJECTIVES: Preventing the expansion of perihematomal edema (PHE) represents a novel strategy for th...