Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care
Abstract
:1. Introduction
2. Methodology
2.1. Study Design, Setting, and Population
2.2. Sample Size Estimation
2.3. Questionnaire Design
3. Data Analysis
4. Results
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables | Number (n) | Percentage (%) |
---|---|---|
Gender | ||
Male | 575 | 69.4 |
Female | 254 | 30.6 |
Age | ||
19–25 years | 173 | 20.8 |
26–30 years | 63 | 7.6 |
31–35 years | 67 | 8.1 |
36–40 years | 145 | 17.5 |
>41 years | 382 | 46.0 |
Education level | ||
Less than high school | 25 | 3.0 |
High school | 147 | 17.7 |
University | 658 | 79.3 |
Nationality | ||
Saudi | 785 | 94.6 |
Non-Saudi | 45 | 5.4 |
Variables | Number (n) | Percentage (%) |
---|---|---|
Knowledge of AI | ||
Yes | 698 | 84.1 |
No | 132 | 15.9 |
What is your opinion, if artificial intelligence is widespread in Saudi Arabia? | ||
Risk of losing jobs with the introduction of robots (artificial intelligence) with the decrease in the need for employees | 205 | 24.7 |
Healthcare professionals will be better with the widespread use of artificial intelligence. | 380 | 45.8 |
The choice of specialization field will be influenced by how artificial intelligence is used in that field | 145 | 17.5 |
I don’t know | 100 | 12.0 |
Have you received any formal education? | ||
about artificial intelligence? | ||
Yes | 62 | 7.5 |
No | 675 | 81.3 |
Received some information over the internet | 37 | 4.5 |
Through friends | 56 | 6.7 |
Do you know ChatGPT | ||
Yes | 412 | 49.6 |
No | 418 | 50.4 |
Have you used ChatGPT? | ||
Yes | 295 | 35.5 |
No | 353 | 64.5 |
Variables | Strongly Agree n (%) | Agree n (%) | Neutral n (%) | Disagree n (%) | Strongly Disagree n (%) |
---|---|---|---|---|---|
AI devalues the medical profession | 83 (10) | 120 (14.5) | 297 (35.8) | 252 (30.4) | 78 (9.4) |
AI reduces errors in medical practice | 147 (17.70) | 275 (33.1) | 270 (32.5) | 114 (13.7) | 24 (29.0) |
AI facilitates patients’ access to the service | 213 (25.7) | 411 (49.5) | 159 (19.2) | 38 (4.6) | 9 (1.1) |
AI facilitates healthcare professionals’ access to information | 275 (33.1) | 397 (47.8) | 127 (15.3) | 22 (2.7) | 9 (1.1) |
AI enables healthcare professionals to make more accurate decisions | 228 (27.5) | 356 (42.9) | 190 (22.9) | 38 (4.6) | 18 (2.2) |
AI increases patients’ confidence in medicine | 148 (17.8) | 283 (34.1) | 263 (31.7) | 101 (12.2) | 35 (4.2) |
AI facilitates patient education | 171 (20.6) | 387 (46.6) | 203 (24.5) | 51 (6.1) | 18 (2.2) |
AI negatively affects the relationship between healthcare professionals and the patient | 92 (11.1) | 174 (21.0) | 298 (35.9) | 221 (26.6) | 45 (5.4) |
AI damages the trust that is the basis of the healthcare professional’s relationship | 107 (12.9) | 196 (23.6) | 272 (32.8) | 205 (24.7) | 50 (6.0) |
AI reduces the humanistic aspect of the medical profession. | 170 (20.5) | 232 (28.0) | 201 (24.2) | 179 (21.6) | 48 (5.8) |
AI violations of professional confidentiality may occur more often | 176 (21.2) | 246 (29.6) | 248 (29.9) | 120 (14.5) | 40 (4.8) |
AI allows the patient to increase their control over their health | 146 (17.6) | 309 (37.2) | 268 (32.3) | 89 (10.7) | 18 (2.2) |
Variables | Mean | SD | f-Value | t-Value | p-Value |
---|---|---|---|---|---|
Gender | |||||
Male | 38.4 | 6.1 | 3.282 | 1.463 | 0.072 * |
Female | 37.7 | 5.3 | |||
Age | |||||
20–25 | 38.9 | 6.1 | 1.507 | -- | 0.198 ** |
26–30 | 38.7 | 6.5 | |||
31–35 | 38.4 | 5.1 | |||
36–40 | 38.3 | 5.3 | |||
>41 | 37.3 | 6.0 | |||
Education levels | |||||
Less than high school | 36.4 | 7.6 | 1.161 | -- | 0.314 ** |
High school | 38.3 | 5.8 | |||
University | 38.1 | 5.8 |
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Syed, W.; Babelghaith, S.D.; Al-Arifi, M.N. Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care. Medicina 2024, 60, 938. https://doi.org/10.3390/medicina60060938
Syed W, Babelghaith SD, Al-Arifi MN. Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care. Medicina. 2024; 60(6):938. https://doi.org/10.3390/medicina60060938
Chicago/Turabian StyleSyed, Wajid, Salmeen D. Babelghaith, and Mohamed N. Al-Arifi. 2024. "Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care" Medicina 60, no. 6: 938. https://doi.org/10.3390/medicina60060938