Table 6.
Oncologists’ characteristics in relation to the statement “the impact of AIa on the doctor-patient relationship.”
| Characteristics | Total oncologists, N | Hard to judge, n (%)b | Positive, n (%) | Negative, n (%) | No impact, n (%) | Chi-square (df) | P value | ||||||||||
| Sex | 6.88 (3) | .08 | |||||||||||||||
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Male | 135 | 42 (31.1) | 74 (54.8) | 17 (12.6) | 2 (1.5) |
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Female | 93 | 39 (41.9) | 47 (50.5) | 4 (4.3) | 3 (3.2) |
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| Education degree | 13.829 (6) | .03c | |||||||||||||||
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Bachelor’s | 49 | 26 (53.1) | 18 (36.7) | 5 (10.2) | 0 (0) |
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Master’s | 126 | 41 (32.5) | 70 (55.6) | 10 (7.9) | 5 (4) |
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Doctoral | 53 | 14 (26.4) | 33 (62.3) | 6 (11.3) | 0 (0) |
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| Years of clinical practice | 12.378 (9) | .054 | |||||||||||||||
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0-10 | 89 | 28 (31.5) | 55 (61.8) | 4 (4.5) | 2 (2.4) |
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11-20 | 83 | 25 (30.1) | 44 (53) | 12 (14.5) | 2 (2.2) |
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≥21 | 56 | 28 (50) | 22 (39.3) | 5 (8.9) | 1 (1.8) |
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| Specialty | 13.323 (6) | .15 | |||||||||||||||
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Medical oncology | 97 | 33 (34) | 56 (57.7) | 5 (5.2) | 3 (3.1) |
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Surgical oncology | 77 | 26 (33.8) | 38 (49.4) | 13 (16.9) | 0 (0) |
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Radiation therapy | 40 | 18 (45) | 19 (47.5) | 2 (5) | 1 (2.5) |
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Others | 14 | 4 (28.6) | 8 (57.1) | 1 (7.1) | 1 (7.1) |
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| Hospital type | 2.796 (3) | .42 | |||||||||||||||
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University hospital | 148 | 50 (33.8) | 78 (52.7) | 17 (11.5) | 3 (2) |
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Nonuniversity hospital | 80 | 31 (38.8) | 43 (53.8) | 4 (5) | 2 (2.5) |
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| IT experience | 10.233 (3) | .02c | |||||||||||||||
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Yes | 35 | 5 (14.3) | 25 (71.4) | 3 (8.6) | 2 (5.7) |
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No | 193 | 76 (39.4) | 96 (49.7) | 18 (9.3) | 3 (1.6) |
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aAI: artificial intelligence.
bPercentages expressed with the value in the “Total oncologists, N” column as the denominator.
cP<.05.