This chapter explores the integration of artificial intelligence (AI) into the diagnosis and management of intraocular and conjunctival tumors, with a focus on uveal melanoma (UM) and small choroidal pigmented tumors (SCPT). It examines AI’s ability to enhance early detection, risk assessment, and prognostication by leveraging advanced machine learning models and ophthalmic imaging data. The potential of AI for improving clinical decision-making and overcoming limitations in traditional diagnostic methods is highlighted, along with challenges and opportunities for future development.