使 使

Melchor Sánchez-Mendiola1, Megan Anakin2, Ardi Findyartini3

  • 1Postgraduate Studies Division, National Autonomous University of Mexico Faculty of Medicine, Mexico City, Mexico City, 04510, Mexico.

MedEdPublish (2016)
|January 19, 2026
PubMed
概括

生成性人工智能 (GenAI) 可以成为健康专业教育的教师发展 (FD) 中的有价值的共同开发者. 经过深思熟虑地整合GenAI,可以增强资源创造,个性化学习和公平,同时保持教育标准.

相关概念视频

Online Virtual Reality Networked Control Laboratory Applied in Control Engineering Education04:15

Online Virtual Reality Networked Control Laboratory Applied in Control Engineering Education

This study describes a WebVR-based online virtual reality (VR) laboratory system that provides users with immersive and interactive experimentation capabilities supported by VR devices. The proposed system not only helps to enhance the realism of user participation in online experiments but is also applicable to a wide range of online laboratory...
1.6K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Integrated image management, artificial intelligence (AI), and reporting systems have revolutionized diagnostic pathology practice. In this paper, we introduce FlexLIS, a state-of-the-art system that enables AI to assist pathologists in performing histopathology image assessments and generating diagnostic reports.
811
Artificial Intelligence-Based System for Detecting Attention Levels in Students06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

This paper proposes an artificial intelligence-based system to automatically detect whether students are paying attention to the class or are distracted. This system is designed to help teachers maintain students' attention, optimize their lessons, and dynamically introduce modifications in order for them to be more...
5.3K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry...
2.7K
Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

A process of registering cone-beam computed tomography scans and digital dental images has been presented using artificial intelligence (AI) -assisted identification of landmarks and merging. A comparison with surface-based registration shows that AI-based digitization and integration are reliable and...
1.4K
Interactive and Visualized Online Experimentation System for Engineering Education and Research08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

This work describes an online experimentation system that provides visualized experiments, including the visualization of theories, concepts, and formulas, visualizing the experimental process with three-dimensional (3-D) virtual test rigs, and visualizing the control and monitoring system using widgets such as charts and...
2.9K