Medical Education

Dataset of numerical assessment on the combined effects of non-thermal plasma and water addition in hydrogen combustion.

This dataset contains raw and analyzed numerical simulation data, tables, and figures focused on the...

Learning with AI, not from AI: Ethical and pedagogical implications of ChatGPT in undergraduate education.

AIM: To explore how first-year nursing students engaged with ChatGPT during an assessment task, and ...

Development of Digital Literacy: Application of Artificial Intelligence in Education and Clinical Practice of Oncology Nurses.

OBJECTIVES: To synthesize current educational approaches to AI literacy in oncology nursing, identif...

Computer-vision based recognition of cervical spine stabilization during trauma resuscitation.

BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Alth...

Robust heterogeneous network representation learning by multifaceted curriculum training.

The use of heterogeneous networks has gained significant traction for modeling and analyzing complex...

Correction: Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.

Recent advances in numerical simulation of magnetically guided drug delivery systems and applications.

Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive d...

Artificial intelligence in pharmacy education: A scoping review of current integration & global perceptions.

BACKGROUND: The rapid evolution of artificial intelligence (AI) is reshaping healthcare, including p...

An efficient method for determining the mass attenuation coefficient of contrast agent-water mixtures and analysis of influencing factors in medical imaging systems.

The mass attenuation coefficient (MAC) plays a key parameter in computed tomography (CT) imaging and...

Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.

The European Society of Gastrointestinal Endoscopy (ESGE) has identified a critical need to establis...

A "Curriculum of Information Needs" of Parents of Children With Chronic Constipation.

Chronic idiopathic constipation carries a significant burden on children and their families. Despite...

BP/PdSe2 heterojunction device for broadband polarization-sensitive synaptic simulation, logic operation, navigation, all-day image processing and recognition.

Visual function is one of the most critical abilities of organisms to perceive the outside world, pl...

Curriculum-guided graph self-augmentation: A progressive deepening framework for GNNs.

Graph Neural Networks (GNNs) have become a powerful tool for modeling complex graph-structured data,...

MedSumGraph: enhancing GraphRAG for medical QA with summarization and optimized prompts.

The rapid development of large language models (LLMs) has accelerated research into applying artific...

Exploring AI integration in continuing pharmacy education: A survey of emerging institutional practice and initial guidance.

INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing e...

A curriculum framework for embedding artificial intelligence literacies in pre-registration nursing education.

BACKGROUND: Pre-registration nursing students need to be appropriately prepared for a healthcare env...

Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers.

OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic ...

Artificial Intelligence in Surgical Education: A 2025 Update on Adaptive Training, Feedback, and Competency-Based Education.

In the rapidly advancing landscape of surgical education, the traditional apprenticeship model is be...

Performance of Large Language Models on Radiology Residency In-Training Examination Questions.

RATIONALE AND OBJECTIVES: Large language models (LLMs) are increasingly investigated in radiology ed...

Adaptive mix for semi-supervised medical image segmentation.

Mix-up is a key technique for consistency regularization-based semi-supervised learning methods, ble...

Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies.

INTRODUCTION AND OBJECTIVES: An AI model that performs well during training does not guarantee simil...