Medical Education

Fostering Clinical Judgment and Promoting Transition Into First Clinical Rotation Through Active Learning.

Undergraduate nursing education builds on knowledge obtained from previous semesters to grow critical thinking skills and promote clinical judgment attainment. Transitioning knowledge from the classroom to the clinical setting is often difficult. Students finishing their first semester of courses in a BSN program participated in a novel, interactive classroom activity to help them practice critica...

An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model.

Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students' engagement with AI courses remains a challenge. This study addresses this gap by extending the technology acceptance model (TAM) to incorporate cognitive factors such as AI intrinsic motivation (AIIM), AI readiness (AIRD), AI confidence (AICF), and AI anxiety (AIAX), alongside...

Missing data in amortized simulation-based neural posterior estimation.

Amortized simulation-based neural posterior estimation provides a novel machine learning based approach for solving parameter estimation problems. It ...

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-based chatbots such as ChatGPT in nursing education,...

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 development and broad dissemination are limited by the re...

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 gradient decay, which is dependent on sample probability....

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 often adopted to reduce ED overcrowding. We focus on o...

Transformable Quadruped Wheelchairs Capable of Autonomous Stair Ascent and Descent.

Despite advancements in creating barrier-free environments, many buildings still have stairs, making accessibility a significant concern for wheelchai...

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 are expected to be a new generation of CT reconstr...

Should my recommendation letter be written by artificial intelligence?

Letters of recommendation are increasingly important for the residency match. We assessed whether an artificial intelligence (AI) tool could help in w...

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 this, clinical reasoning has a variety of definit...

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 evaluate the applicability of the methods to the componen...

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 biomanufacturing processes, such as improved production of ...

Patient-specific cerebral 3D vessel model reconstruction using deep learning.

Three-dimensional vessel model reconstruction from patient-specific magnetic resonance angiography (MRA) images often requires some manual maneuvers. ...

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 the domain of ophthalmology, offering non-invasiv...

Evidence-Based Learning Strategies in Medicine Using AI.

Large language models (LLMs), like ChatGPT, are transforming the landscape of medical education. They offer a vast range of applications, such as tuto...

Application of deep learning in isolated tooth identification.

BACKGROUND: Teeth identification has a pivotal role in the dental curriculum and provides one of the important foundations of clinical practice. Accur...

Gender Bias in Artificial Intelligence-Written Letters of Reference.

OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications. Human-written LORs have been shown to carry impl...