Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Understanding the surgeon's behaviour during robot-assisted surgery: protocol for the qualitative Behav'Robot study.

INTRODUCTION: Robot-assisted surgery is spreading worldwide, accounting for more than 1.2 million pr...

Study on the Effects of Different Seat and Leg Support Conditions of a Trunk Rehabilitation Robot.

Performance of trunk rehabilitation exercises while sitting on movable surfaces with feet on the gro...

The future of artificial intelligence in medicine: Medical-legal considerations for health leaders.

Artificial Intelligence (AI) is becoming increasingly common in healthcare and has potential to impr...

Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

Background Patients with fractures are a common emergency presentation and may be misdiagnosed at ra...

Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence- A Systematic Review.

Our review aimed to assess the current state and quality of publicly available datasets used for aut...

Phase function estimation from a diffuse optical image via deep learning.

The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, wh...

Assessment and counseling to get the best efficiency and effectiveness of the assistive technology (MATCH): Study protocol.

AIMS: To determine the psychosocial impact of assistive technology(AT) based on robotics and artific...

Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network.

PURPOSE: Image guidance is used to improve the accuracy of radiation therapy delivery but results in...

Robotic Handle Prototypes for Endoscopic Endonasal Skull Base Surgery: Pre-clinical Randomised Controlled Trial of Performance and Ergonomics.

Endoscopic endonasal skull base surgery is a promising alternative to transcranial approaches. Howev...

Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol.

INTRODUCTION: This paper presents a mixed-methods study protocol that will be used to evaluate a rec...

FusionAI, a DNA-sequence-based deep learning protocol reduces the false positives of human fusion gene prediction.

Even though there were many tool developments of fusion gene prediction from NGS data, too many fals...

Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.

Deep learning-based reconstruction (DLR) may facilitate CT radiation dose reduction, but a paucity ...

Protocol for the diagnosis of keratoconus using convolutional neural networks.

Keratoconus is the corneal disease with the highest reported incidence of 1:2000. The treatment's le...

Intelligent 2-∞ Consensus of Multiagent Systems under Switching Topologies via Fuzzy Deep Learning.

The problem of intelligent - consensus design for leader-followers multiagent systems (MASs) under...

Is AI the Ultimate QA?

We are among the many that believe that artificial intelligence will not replace practitioners and i...

Evaluation of Chilled Dog Semen Extended With Sperm Activator.

Within modern biotechnology, different tools and methodologies have been developed to maximize canin...

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