Javascript must be enabled to continue!
General Attitudes Towards and Readiness for Medical Artificial Intelligence among Medical and Health Sciences Students in Kazakhstan (Preprint)
View through CrossRef
BACKGROUND
Medical AI is an exponentially expanding field with great potential to revolutionize healthcare. Many tasks in healthcare are now and in the future will integrate AI. It is essential for future medical and healthcare providers to be ready and to use them to optimize patient care. However, in Kazakhstan, the attitudes and readiness of medical and health sciences students toward medical AI still need to be discovered.
OBJECTIVE
This study assessed the general attitudes toward Artificial Intelligence (AI) and medical AI readiness among Kazakhstani medical and health sciences students and examined the factors influencing the students' medical AI readiness.
METHODS
A quantitative study using an online survey was conducted among medical and health sciences students at Nazarbayev University School of Medicine (NUSOM) in Spring 2023. We employed the “General Attitudes Towards Artificial Intelligence Scale” (GAAIS) to assess the students' AI attitudes and the “Medical Artificial Intelligence Readiness Scale for Medical Students” (MAIRS-MS) to measure the student's readiness for medical AI.
RESULTS
Nearly all of the students did not receive/ attended any education experience on AI from NUSOM (95.3%) or outside NUSOM (85.0%), and most of them received information about AI from the media (74.8%). The students reported poor knowledge of AI and its application in healthcare. The students demonstrated a negative to neutral general attitude toward AI and poor overall readiness for medical AI. Knowledge of AI applications in healthcare and a generally positive attitude toward AI was associated with increased readiness for medical AI among the students.
CONCLUSIONS
The study's findings can inform education policymakers and medical and health science professors in creating, introducing, and integrating new curricular content involving AI in medical schools. Including content on medical AI in medical and health sciences curricula will increase the students’ readiness and improve its use for more advanced patient care.
JMIR Publications Inc.
Title: General Attitudes Towards and Readiness for Medical Artificial Intelligence among Medical and Health Sciences Students in Kazakhstan (Preprint)
Description:
BACKGROUND
Medical AI is an exponentially expanding field with great potential to revolutionize healthcare.
Many tasks in healthcare are now and in the future will integrate AI.
It is essential for future medical and healthcare providers to be ready and to use them to optimize patient care.
However, in Kazakhstan, the attitudes and readiness of medical and health sciences students toward medical AI still need to be discovered.
OBJECTIVE
This study assessed the general attitudes toward Artificial Intelligence (AI) and medical AI readiness among Kazakhstani medical and health sciences students and examined the factors influencing the students' medical AI readiness.
METHODS
A quantitative study using an online survey was conducted among medical and health sciences students at Nazarbayev University School of Medicine (NUSOM) in Spring 2023.
We employed the “General Attitudes Towards Artificial Intelligence Scale” (GAAIS) to assess the students' AI attitudes and the “Medical Artificial Intelligence Readiness Scale for Medical Students” (MAIRS-MS) to measure the student's readiness for medical AI.
RESULTS
Nearly all of the students did not receive/ attended any education experience on AI from NUSOM (95.
3%) or outside NUSOM (85.
0%), and most of them received information about AI from the media (74.
8%).
The students reported poor knowledge of AI and its application in healthcare.
The students demonstrated a negative to neutral general attitude toward AI and poor overall readiness for medical AI.
Knowledge of AI applications in healthcare and a generally positive attitude toward AI was associated with increased readiness for medical AI among the students.
CONCLUSIONS
The study's findings can inform education policymakers and medical and health science professors in creating, introducing, and integrating new curricular content involving AI in medical schools.
Including content on medical AI in medical and health sciences curricula will increase the students’ readiness and improve its use for more advanced patient care.
Related Results
Attitudes toward and readiness for medical artificial intelligence among medical and health science students
Attitudes toward and readiness for medical artificial intelligence among medical and health science students
Purpose: This study assessed general attitudes toward artificial intelligence and medical artificial intelligence readiness among medical and health sciences students and examined ...
Readiness and Perceptions toward Artificial Intelligence among medical students in Egypt
Readiness and Perceptions toward Artificial Intelligence among medical students in Egypt
Abstract
Background
Artificial intelligence (AI) is transforming healthcare, but medical students' readiness to adopt it remains unclear. Limited...
Research on health expenditure in Kazakhstan
Research on health expenditure in Kazakhstan
Objective To understand and study Kazakhstan's resource planning and budget allocation in the field of health care through data related to Kazakhstan's health expenditure, to ensur...
ACKNOWLEDGMENTS
ACKNOWLEDGMENTS
The UP Manila Health Policy Development Hub recognizes the invaluable contribution of the participants in theseries of roundtable discussions listed below:
RTD: Beyond Hospit...
Raptors and Wind Energy in Kazakhstan: What are the Prospects for Eagles?
Raptors and Wind Energy in Kazakhstan: What are the Prospects for Eagles?
Wind energy is one of the most affordable energy sources worldwide and represents one of the most climate and environmentally friendly options for energy production. However, wind ...
Role of Rawalpindi Medical University Students in Perspective of Public Health
Role of Rawalpindi Medical University Students in Perspective of Public Health
What role do medical students have in global health activities? On one hand, students have much to offer, such as innovative ideas, the latest knowledge and perspective, and inspir...
Benchmarking Industry 4.0 readiness evaluation using fuzzy approaches
Benchmarking Industry 4.0 readiness evaluation using fuzzy approaches
PurposeThe purpose is to assess Industry 4.0 (I4.0) readiness index using fuzzy logic and multi-grade fuzzy approaches in an automotive component manufacturing organization.Design/...
La luz: de herramienta a lenguaje. Una nueva metodología de iluminación artificial en el proyecto arquitectónico.
La luz: de herramienta a lenguaje. Una nueva metodología de iluminación artificial en el proyecto arquitectónico.
The constant development of artificial lighting throughout the twentieth century helped to
develop architecture to the current situation in which a new methodology is needed for
...

