Related Experiment Video
Updated: Jun 21, 2025
05:49
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
823
Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study
Dalal Hammoudi Halat1, Rula Shami2, Alaa Daud2
1Academic Quality Department, QU Health, Qatar University, Doha, Qatar.
Clinical and Experimental Dental Research
|July 6, 2024
Summary
Dental students in Qatar show average readiness for Artificial Intelligence (AI), with notable gaps in cognitive and ability domains. They expressed a strong need for AI education to prepare for its integration into healthcare and dental practice.
Area of Science:
- Health Professions Education
- Medical Informatics
- Artificial Intelligence in Dentistry
Background:
- Artificial Intelligence (AI) is transforming education and healthcare.
- Preparing health discipline students for AI integration is crucial for workforce readiness.
- Dental education must adapt to the evolving AI landscape.
Purpose of the Study:
- To assess dental students' readiness to use AI.
- To explore perceptions of AI in health education and healthcare.
- To identify AI-related educational needs among dental students.
Main Methods:
- A cross-sectional survey was administered to dental students at Qatar University.
- The Medical Artificial Intelligence Readiness Scale (MAIRS) was used to measure AI readiness.
- Student perceptions and educational needs regarding AI were investigated.
Main Results:
- AI readiness scores were average (3.3/5), with lower scores in cognition and ability domains.
- Students had average perceptions of AI (3.35/5) but expressed concerns about risks.
- A high demand for AI knowledge in healthcare, research, and radiology was reported.
Conclusions:
- This study is the first in Qatar to examine dental students' AI readiness and perceptions.
- Identified AI knowledge gaps can guide curriculum development for AI integration.
- Enhancing AI skills and comprehension will equip future dental professionals for AI-driven healthcare.
Related Concept Videos
01:15Teeth
373
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
373
01:08The Availability Heuristic
5.9K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
5.9K