Medical Education

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 data-based process monitoring systems with an aim to improve industrial productivity. An efficient process monitoring system for wastewater treatment process (WWTP) ensures increased efficiency and effluents meeting stringent emission norms. Benchmark simulation model No. 1 (BSM1) provides a simula...

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 for surgical residents to be trained by a procedure-specific curriculum. This study aimed to evaluate the technical performance and feedback of surgical residents undergoing the robotic and laparoscopic hepaticojejunostomy (HJ) and gastrojejunostomy (GJ) biotissue modules.

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

There is increasing demand for colorectal robotic training for general surgery residents. We implemented a robotic colorectal surgery curriculum expec...

Systematic Bronchoscopy: the Four Landmarks Approach.

Flexible bronchoscopy is a technically difficult procedure and has been identified as the most important procedure that should be integrated into a si...

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 educators. The major radiology societies have deve...

Smart Chemical Sensor and Biosensor Networks for Healthcare 4.0.

Driven by technological advances from Industry 4.0, Healthcare 4.0 synthesizes medical sensors, artificial intelligence (AI), big data, the Internet o...

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 research. However, few studies have focused on the i...

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 experience a stroke. Presently, UE, as a training item, is...

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

PROBLEM: Implementation of competency-based medical education has necessitated more frequent trainee assessments. Use of simulation as an assessment t...

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 discussed. Therefore, this study aimed to investig...

Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation.

Decades of nanotoxicology research have generated extensive and diverse data sets. However, data is not equal to information. The question is how to e...

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 training, no such requirement or standardized curricul...

Discovery of novel PARP-1 inhibitors using tandem studies: integrated docking, e-pharmacophore, deep learning based de novo and molecular dynamics simulation approach.

Cancer accounts for the majority of deaths worldwide, and the increasing incidence of breast cancer is a matter of grave concern. Poly (ADP-ribose) po...

Variant anatomy of non-recurrent laryngeal nerve: when and how should it be taught in surgical residency?

INTRODUCTION: While the performance of a thyroidectomy is generally associated with a low risk of injury to the recurrent laryngeal nerve (RLN), the p...

Development of a high fidelity, multidisciplinary, crisis simulation model for robotic surgical teams.

Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery, can be challenging. We aimed to present a full im...

Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia.

: The role of the pharmacist in healthcare society is unique, since they are providers of health information and medication counseling to patients. He...

High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning.

. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU...

The rise of ChatGPT: Exploring its potential in medical education.

The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical scie...

Modular robot interface for a smart operating theater.

This paper discusses the architecture and implementation of a modular component of the smart operating theater digital twin, designed to control robot...