Medical Education

Assessment of Knowledge, Practice, Perception, and Expectations of Artificial Intelligence in Medical Care among Staff of a Tertiary Hospital.

BACKGROUND: Artificial intelligence (AI) is the simulation of human intelligence processes by machin...

LinFlo-Net: A Two-Stage Deep Learning Method to Generate Simulation Ready Meshes of the Heart.

We present a deep learning model to automatically generate computer models of the human heart from p...

Revolutionizing dermatology residency: artificial intelligence for knowledge and clinical milestones assessment.

Artificial Intelligence: Reflections on Its Use to Promote DEIA Principles for Residency Recruitment.

The Need for Artificial Intelligence Curriculum in Military Medical Education.

The success of deep-learning algorithms in analyzing complex structured and unstructured multidimens...

Artificial Intelligence Simulation of Adolescents' Responses to Vaping-Prevention Messages.

Letter to the Editor Regarding "Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery".

[Embracing the Era of Artificial Intelligence: Innovation and Preparation in Nursing Education].

Rapid recent advances in information technology have opened the door for artificial intelligence (AI...

Proposal of a standardized training curriculum for open and robot-assisted kidney transplantation.

Standardized training programs for open (OKT) and robot-assisted kidney transplantation (RAKT) remai...

Using Clinical Simulation to Evaluate AI-Enabled Decision Support.

Clinical simulation is a useful method for evaluating AI-enabled clinical decision support (CDS). Si...

Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review.

BACKGROUND: There is a need to standardize training in robotic surgery, including objective assessme...

Policy Library Redundancy Analysis Using K-means Clustering.

This capstone project investigates the application of artificial intelligence (AI) techniques, speci...

Integrating AI into Clinical Workflows: A Simulation Study on Implementing AI-aided Same-day Diagnostic Testing Following an Abnormal Screening Mammogram.

Artificial intelligence (AI) shows promise in clinical tasks, yet its integration into workflows rem...

E-validation - Unleashing AI for validation.

The validation of new approach methods (NAMs) in toxicology faces significant challenges, including ...

Machine learning framework for simulation of artifacts in paranasal sinuses diagnosis using CT images.

In the medical field, diagnostic tools that make use of deep neural networks have reached a level of...

Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers.

Current and future healthcare professionals are generally not trained to cope with the proliferation...

Design and Simulation of a Multilayer Chemical Neural Network That Learns via Backpropagation.

The design and implementation of adaptive chemical reaction networks, capable of adjusting their beh...

Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning.

Magnetic Resonance (MR) images suffer from various types of artifacts due to motion, spatial resolut...

Automated Gas Chromatography Peak Alignment: A Deep Learning Approach using Greedy Optimization and Simulation.

The clinical significance of volatile organic compounds (VOC) in detecting diseases has been establi...

Quantification of motion during microvascular anastomosis simulation using machine learning hand detection.

OBJECTIVE: Microanastomosis is one of the most technically demanding and important microsurgical ski...

New simulation software to predict postoperative corneal stiffness before laser vision correction.

PURPOSE: To develop a new virtual surgery simulation platform to predict postoperative corneal stiff...