Medical Education

Survey shows all surgical residents have exposure to robotic surgery yet no formalized curricula exist amongst programs: A Southwest Surgical Congress Survey.

BACKGROUND: Increased robotic surgery exposure during general surgery training occurs at many instit...

Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration.

The use of artificial intelligence (AI) is deeply embedded in all aspects of our daily lives, promot...

Revolutionizing nursing education through Ai integration: A reflection on the disruptive impact of ChatGPT.

Artificial intelligence (AI) is driving global change. An AI language model like ChatGPT could revol...

Impact of E484Q and L452R Mutations on Structure and Binding Behavior of SARS-CoV-2 B.1.617.1 Using Deep Learning AlphaFold2, Molecular Docking and Dynamics Simulation.

During the outbreak of COVID-19, many SARS-CoV-2 variants presented key amino acid mutations that in...

Anti-photoaging effects of canola meal extract on human dermal fibroblasts against UVB-induced oxidative stress.

Canola meal, a by-product of canola oil processing, is a source of bioactive compounds that show ant...

Human-robot collaborative task planning using anticipatory brain responses.

Human-robot interaction (HRI) describes scenarios in which both human and robot work as partners, sh...

Complete mesocolic excision versus standard resection for colon cancer: a systematic review and meta-analysis of perioperative safety and an evaluation of the use of a robotic approach.

PURPOSE: Complete mesocolic excision (CME) has been associated with improved oncological outcomes in...

An Intelligent Method for Predicting the Pressure Coefficient Curve of Airfoil-Based Conditional Generative Adversarial Networks.

Recently, extensive studies have focused on analyzing aerodynamic performance due to its important i...

Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1(BSM1).

In the past decade, machine learning techniques have seen wide industrial applications for design of...

Residents perform better technically, have less stress and workload, and prefer robotic to laparoscopic technique during inanimate simulation.

INTRODUCTION: With the widespread adoption of minimally invasive surgery, there is a growing need fo...

Implementation of a structured robotic colorectal curriculum for general surgery residents.

There is increasing demand for colorectal robotic training for general surgery residents. We impleme...

Systematic Bronchoscopy: the Four Landmarks Approach.

Flexible bronchoscopy is a technically difficult procedure and has been identified as the most impor...

Implications of Pediatric Artificial Intelligence Challenges for Artificial Intelligence Education and Curriculum Development.

Several radiology artificial intelligence (AI) courses are offered by a variety of institutions and ...

Smart Chemical Sensor and Biosensor Networks for Healthcare 4.0.

Driven by technological advances from Industry 4.0, Healthcare 4.0 synthesizes medical sensors, arti...

A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods.

The problem of missing data, particularly for dichotomous variables, is a common issue in medical re...

Development of a program to determine optimal settings for robot-assisted rehabilitation of the post-stroke paretic upper extremity: a simulation study.

Robot-assisted therapy can effectively treat upper extremity (UE) paralysis in patients who experien...

Deep Learning Model for Automated Trainee Assessment During High-Fidelity Simulation.

PROBLEM: Implementation of competency-based medical education has necessitated more frequent trainee...

Exploring the use of driving simulation to improve robotic surgery simulator training: an observational case-control study.

The correlation between driving skills and the ability to perform robotic surgery have not yet been ...

Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation.

Decades of nanotoxicology research have generated extensive and diverse data sets. However, data is ...

The Potential of ChatGPT in Medical Education: Focusing on USMLE Preparation.

Intentional enterotomies: validation of a novel robotic surgery training exercise.

While laparoscopic simulation-based training is a well-established component of general surgery trai...