Advances in artificial intelligence have the potential to analyze optical coherence tomography (OCT) scans in clinical settings to detect ocular complications resulting from anticancer drug therapy. The study utilizes a sample of 27 clinicians (10 ophthalmic specialists, 10 ophthalmic practitioners, and 7 oncologists) who completed Likert-scale questions to gauge their understanding, trust, and readiness to integrate AI into clinical practice. The questionnaire was developed with a literature review and consultations with experts in the field of ophthalmology and AI with the data summarized with the Mann-Whitney U test (α = 0.05), comparison of the medians. It was found that there would be increased trust when the AI algorithm outputs reflect expert opinion coupled with explanations by AI outputs. They found that when AI models were given complex scenarios the results were mixed. This corresponded to reduced trust in seasoned clinicians and mixed feedback with less experienced clinicians. Limitations of this analysis exist that the Likert-scale is subjective and the results can vary with clinician preference of modalities.