Rayga Rayyan; Marice Simarmata
The utilization of Artificial Intelligence (AI) in healthcare services and medical diagnosis in Indonesia has grown rapidly alongside the digital transformation of the health sector. AI technology has been employed to improve service efficiency, accelerate diagnostic processes, and enhance disease detection accuracy, particularly through medical imaging and ECG data analysis. Algorithms such as K-Nearest Neighbor (KNN) and Chi-Square have shown effectiveness in heart disease classification. However, despite its benefits, AI implementation presents legal challenges. The absence of specific regulations regarding legal liability in cases of AI-based diagnostic errors creates uncertainty for both medical professionals and patients. Additionally, the lack of national standards, weak patient data protection, and digital literacy gaps present significant obstacles. Adaptive policies, the establishment of dedicated regulations, and collaboration between government, medical practitioners, technology developers, and academics are essential to develop a legal framework that accommodates AI advancements responsibly. With clear legal certainty, AI technology can be optimally utilized to support more inclusive and high-quality healthcare services.