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27 June 2026 : Clinical Research  

Understanding Public Awareness, Attitudes, Beliefs, and Perceptions About ChatGPT in Saudi Arabia: A Road Map for Digital Health

Norah M. Alyahya ORCID logo ABCDEG 1, Falah Ali Alwadei BCFG 2, Hussam Abdullah Alshehri BCDFG 3, Abeer Swailm Al-khaldi BCDFG 4, Ghada Mohammed Al-Mubaraki BCDFG 4, Mohammed AlFaifi ABCDFG 5, Abdullah M. Alobaid ABCDEG 6, Wajid Syed ABCDEFG 7*

DOI: 10.12659/MSM.951747

Med Sci Monit 2026; 32:e951747

Table 5 Association between the level of familiarity and comfort with ChatGPT and demographic characteristics among the Saudi population.

VariablesFamiliar to some degreen (%)Not familiarn (%)Very familiarn (%)P value*Effect size (Cramér’s V)
 Male302 (58%)169 (50.8%)135 (62.8%)0.0150.015
 Female219 (42%)164 (49.2%)80 (37.2%)
 20–25216 (45.9%)129 (27.4%)126 (26.8%)<0.0010.127
 26–30146 (49.2%)114 (38.4%)37 (12.5%)
 31–3566 (52.8%)36 (28.8%)23 (18.4%)
 36–4031 (43.1%)25 (34.7%)16 (22.2%)
 >4162 (59.6%)29 (27.9%)13 (12.5%)
 Secondary97 (18.6%)91 (27.3%)32 (14.9%)<0.0010.104
 University415 (79.7%)226 (67.9%)177 (82.3%)
 Doctorate9 (1.7%)16 (4.8%)6 (2.8%)
 Central181 (34.7%)120 (36%)87 (40.5%)0.4710.060
 Western62 (11.9%)39 (11.7%)20 (9.3%)
 Eastern54 (10.4%)34 (10.2%)21 (9.8%)
 Southern122 (23.4%)72 (21.6%)35 (16.3%)
 Northern102 (19.6%)68 (20.4%)52 (24.2%)
 Male206 (39.8%)174 (51.8%)83 (38.4%)<0.0010.116
 Female311 (60.2%)162 (48.2%)133 (61.6%)
 20–25246 (47.6%)133 (39.6%)92 (42.6%)0.0030.104
 26–30151 (29.2%)94 (28%)52 (24.1%)
 31–3552 (10.1%)35 (10.4%)38 (17.6%)
 36–4027 (5.2%)29 (8.6%)16 (7.4%)
 >4141 (7.9%)45 (13.4%)18 (8.3%)
 Secondary94 (18.2%)88 (26.2%)38 (17.6%)<0.0010.095
 University416 (80.5%)233 (69.3%)169 (78.2%)
 Doctorate7 (1.4%)15 (4.5%)9 (4.2%)
 Central197 (38.1%)117 (34.8%)74 (34.3%)0.1870.073
 Western60 (11.6%)35 (10.4%)26 (12%)
 Eastern58 (11.2%)23 (6.8%)28 (13%)
 Southern101 (19.5%)84 (25%)44 (20.4%)
 Northern101 (19.5%)77 (22.9%)44 (20.4%)
* Chi-square test of independence;
Effect sizes are reported as Cramér’s V. No formal adjustment for multiple comparisons was applied, as analyses were exploratory and hypothesis driven.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750