AI in oncology: Resident perspectives by gender and tech literacy.

• DOI: 10.1200/jco.2024.42.16_suppl.9055
• Publication Date: 2024-06-26T17:03:52Z
• Authors: Fernanda Malucell...; Laura Collie; Thomas Kennedy; Jacqueline J. Nabhen; Amir Safavi; Giovanni G Cerri; Fabio Ynoe de Moraes

9055 Background: The integration of AI and ML in oncology demands that physicians adapt grasp the basics for responsible use. We evaluated knowledge perspectives among Canadian residents, noting differences by program, gender, tech literacy, pinpointing education gaps. Methods: An ethics-approved survey collected anonymous responses from analyzing skills. Descriptive statistics, cross-tabs, chi-square tests assessed associations; t-tests Mann-Whitney compared groups. Results: A total 57 (31%) residents fellows, out an estimated 182, participated, with representation each training program Canada. Most participants were male (63.2%) most self-identified as white (42.1%) or Asian (22.8%). RO programs better represented than MO (68.5% vs 31.6%) balanced across all years training. In our survey, women equally favored Medical Oncology (MO) Radiation (RO) at 50%, but more (55.6%) (26.3%). Men preferred (77.8%) over (22.2%). Tech literacy showed a gender gap, men (91.7%) feeling tech-savvy (8.3%). Tech-savvy respondents leaned towards (84%) younger (30 33 years). They also willingness to use AI, significant difference scores (1.52 2.06). Despite not influencing attitudes significantly, correlated understanding. High awareness medicine was reported (91.2%), strong belief AI's future prevalence (96%). majority willing (86%) recognized need understand it (74%). inclined usage counterparts. study highlighted interest learning (73%), preference workshops (79%). Only 29% could describe indicating gap education, despite 63% acknowledging its importance Formal rare (12.3%), desire especially residents. All findings had p<0.05. Conclusions: anticipate growing influence face educational deficiencies. Gender, preference, impact toward highlighting inclusive bridge gaps foster diversity medical application.