Medical Education

Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing Education.

This viewpoint paper explores the pedagogical implications of artificial intelligence (AI) and AI-ba...

Residency Applications in the Era of Generative Artificial Intelligence.

To the Editor: An Urgent Call to Action to Integrate Artificial Intelligence Curriculum Into Medical Education.

Experiment-free exoskeleton assistance via learning in simulation.

Exoskeletons have enormous potential to improve human locomotive performance. However, their develop...

Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization.

This study introduces a novel hyperparameter in the Softmax function to regulate the rate of gradien...

Managing low-acuity patients in an Emergency Department through simulation-based multiobjective optimization using a neural network metamodel.

This paper deals with Emergency Department (ED) fast-tracks for low-acuity patients, a strategy ofte...

Transformable Quadruped Wheelchairs Capable of Autonomous Stair Ascent and Descent.

Despite advancements in creating barrier-free environments, many buildings still have stairs, making...

DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation.

Deep learning (DL) algorithms have achieved unprecedented success in low-dose CT (LDCT) imaging and ...

Should my recommendation letter be written by artificial intelligence?

Letters of recommendation are increasingly important for the residency match. We assessed whether an...

Teaching clinical reasoning: principles from the literature to help improve instruction from the classroom to the bedside.

Clinical reasoning has been characterized as being an essential aspect of being a physician. Despite...

How to choose a design thinking method for teaching the design of localization: A two-dimension linguistic fuzzy model with two-tuples.

There are many different types of scientific design thinking methods, but it is necessary to evaluat...

Reinforcement learning-guided control strategies for CAR T-cell activation and expansion.

Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufa...

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023).

BACKGROUND AND OBJECTIVES: Optical coherence tomography (OCT) has ushered in a transformative era in...

Evidence-Based Learning Strategies in Medicine Using AI.

Large language models (LLMs), like ChatGPT, are transforming the landscape of medical education. The...

Application of deep learning in isolated tooth identification.

BACKGROUND: Teeth identification has a pivotal role in the dental curriculum and provides one of the...

Gender Bias in Artificial Intelligence-Written Letters of Reference.

OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications...

Transforming Poultry Farming: A Pyramid Vision Transformer Approach for Accurate Chicken Counting in Smart Farm Environments.

Smart farm environments, equipped with cutting-edge technology, require proficient techniques for ma...

Model-Informed Precision Dosing Using Machine Learning for Levothyroxine in General Practice: Development, Validation and Clinical Simulation Trial.

Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to...

Predicting reservoir sedimentation using multilayer perceptron - Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gibe River basin, Ethiopia.

The estimation and prediction of the amount of sediment accumulated in reservoirs are imperative for...

An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.

BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associat...

Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research.

The integration of artificial intelligence (AI) into health care offers the potential to enhance pat...