This chapter explores the integration of artificial intelligence (AI) into precision medicine and ophthalmology, emphasizing its transformative role in personalized care, telemedicine, and patient monitoring. AI-driven technologies such as natural language processing (NLP), computer vision (CV), and machine learning (ML) are redefining how clinicians interpret medical data and engage with patients. Virtual assistant chatbots and voice-based health platforms facilitate continuous communication, deliver individualized health education, and improve adherence to treatment plans. Wearable sensors and connected devices enable real-time monitoring of physiological parameters, while predictive modeling and deep learning algorithms help forecast disease progression, optimize therapy selection, and guide preventive care. AI also advances pharmacogenomics by correlating genetic variations with drug response, promoting safer and more effective treatment strategies. Despite these innovations, challenges remain—including data fragmentation, algorithmic bias, and concerns surrounding patient privacy, equity, and regulatory oversight. By fostering interdisciplinary collaboration, ethical governance, and patient engagement, AI holds immense potential to enhance precision medicine and revolutionize ophthalmic care through truly personalized, data-driven healthcare delivery.