Table 3.
Participants’ attitudes regarding the advantages of using artificial intelligence (AI) in clinical practice (N=317).
Advantages of using AI in clinical practice and variables | Strongly agree | Agree | Neutral | Disagree | Strongly disagree | ||||||
Reducing therapist workload, n (%) | |||||||||||
|
Sex | ||||||||||
|
|
Male | 67 (21.1) | 59 (18.6) | 34 (10.7) | 5 (1.6) | 1 (0.3) | ||||
|
|
Female | 41 (12.9) | 68 (21.5) | 36 (11.4) | 6 (1.9) | 0 (0) | ||||
|
Employment sector | ||||||||||
|
|
Academic | 23 (7.3) | 35 (11) | 12 (3.8) | 3 (0.9) | 1 (0.3) | ||||
|
|
Nonacademic | 85 (26.8) | 92 (29) | 58 (18.3) | 8 (2.5) | 0 (0) | ||||
|
Experience (years) | ||||||||||
|
|
>10 | 52 (16.4) | 37 (11.7) | 32 (10.1) | 7 (2.2) | 1 (0.3) | ||||
|
|
<10 | 56 (17.7) | 90 (28.4) | 38 (12) | 4 (1.3) | 0 (0) | ||||
|
Educational qualification | ||||||||||
|
|
Postgraduate degree | 55 (17.4) | 45 (14.2) | 23 (7.3) | 5 (1.6) | 1 (0.3) | ||||
|
|
Undergraduate degree | 53 (16.7) | 82 (25.9) | 47 (14.8) | 6 (1.9) | 0 (0) | ||||
Facilitating patient care, n (%) | |||||||||||
|
Sex | ||||||||||
|
|
Male | 65 (20.5) | 77 (24.3) | 20 (6.3) | 2 (0.6) | 2 (0.6) | ||||
|
|
Female | 43 (13.6) | 78 (24.6) | 25 (7.9) | 5 (1.6) | 0 (0) | ||||
|
Employment sector | ||||||||||
|
|
Academic | 26 (8.2) | 36 (11.4) | 9 (2.8) | 3 (0.9) | 0 (0) | ||||
|
|
Nonacademic | 82 (25.9) | 119 (37.5) | 36 (11.4) | 4 (1.3) | 2 (0.6) | ||||
|
Experience (years) | ||||||||||
|
|
>10 | 44 (13.9) | 61 (19.2) | 21 (6.6) | 3 (0.9) | 0 (0) | ||||
|
|
<10 | 64 (20.2) | 94 (29.7) | 24 (7.6) | 4 (1.3) | 2 (0.6) | ||||
|
Educational qualification | ||||||||||
|
|
Postgraduate degree | 42 (13.2) | 68 (21.5) | 14 (4.4) | 3 (0.9) | 2 (0.6) | ||||
|
|
Undergraduate degree | 66 (20.8) | 87 (27.4) | 31 (9.8) | 4 (1.3) | 0 (0) | ||||
Prevention of diseases, n (%) | |||||||||||
|
Sex | ||||||||||
|
|
Male | 51 (16.1) | 49 (15.5) | 53 (16.7) | 10 (3.2) | 3 (0.9) | ||||
|
|
Female | 31 (9.8) | 52 (16.4) | 53 (16.7) | 13 (4.1) | 2 (0.6) | ||||
|
Employment sector | ||||||||||
|
|
Academic | 27 (8.5) | 25 (7.9) | 17 (5.4) | 5 (1.6) | 0 (0) | ||||
|
|
Nonacademic | 55 (17.4) | 76 (24) | 89 (28.1) | 18 (5.7) | 5 (1.6) | ||||
|
Experience (years) | ||||||||||
|
|
>10 | 32 (10.1) | 35 (11) | 51 (16.1) | 8 (2.5) | 3 (0.9) | ||||
|
|
<10 | 50 (15.8) | 66 (20.8) | 55 (17.4) | 15 (4.7) | 2 (0.6) | ||||
|
Educational qualification | ||||||||||
|
|
Postgraduate degree | 39 (12.3) | 35 (11) | 41 (12.9) | 11 (3.5) | 3 (0.9) | ||||
|
|
Undergraduate degree | 43 (13.6) | 66 (20.8) | 65 (20.5) | 12 (3.8) | 2 (0.6) |