This capstone examines why predictive AI-enabled clinical decision support tools continue to face resistance at the bedside and how that hesitation impacts patients’ confidence in their care. Through qualitative interviews and thematic analysis, it examines four ethical pressure points, such as autonomy, privacy, fairness, and accountability, as well as workflow frictions that shape clinicians’ trust and, by extension, patients’ trust in AI-guided decisions. The project then outlines governance, communication, and design fixes through AI ethics review boards, question-prompt lists for clinicians and patients, and co-design workflows to make AI adoption both ethically sound and practically workable.