Poster Session 1, 10:30 AM - 11:15 AM: Campus Center Auditorium [A79]

Artificial Intelligence in Dentistry: Impacts on Patient Trust, Satisfaction, Decision-Making, and Business Performance

Presenter: Ananya Desai

Faculty Sponsor: Muzzo Uysal

School: UMass Amherst

Research Area: Business & Economics

ABSTRACT

As Artificial Intelligence transitions form a futuristic concept to a daily clinical reality, it is fundamentally reshaping diagnostics, treatment planning, and practice management, yet a critical gap persists in accessible, student-oriented resources that demystify its utility and ethical implications. This study addresses this lack of accessibility by developing an evidence-based educational framework designed to communicate complex applications through a systemic methodology that synthesizes peer-reviewed literature and FDA-cleared technologies into clinical "take-home" points. By applying graphic design principles to manage cognitive load and aligning content with ethical standards regarding data privacy and clinician autonomy, the resulting resource highlights transformative tools like automated radiographic interpretation and early caries detection whcih correlate with increased diagnostic accuracy and improved business performance. Ultimately, by addressing "black box" concerns and algorithmic bias, this work positions AI as a collaborative "second opinion" rather than a replacement for human judgment, providing a scalable model for future integration across dental specialties and proactively bolstering patient trust through informed engagement. 

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