Exploring the Role of Artificial Intelligence in Radiodiagnostics and Radiotherapy: A Literature Review from the Indonesian Context

The utilization of artificial intelligence (AI) in the fields of radiodiagnostics and radiotherapy has been rapidly advancing worldwide, contributing significantly to improving diagnostic accuracy, work efficiency, and the personalization of cancer therapy. In Indonesia, this development has begun to gain attention through local research, national initiatives, and limited implementation in healthcare facilities. This article aims to review the literature on the use of AI in radiodiagnostics and radiotherapy in Indonesia, covering research trends, application areas, and implementation challenges. The literature search was conducted using international databases (PubMed, Scopus, Google Scholar) and national sources (Garuda, university repositories) with relevant keywords, publication years ranging from 2015 to 2025, and inclusion criteria focused on studies within the Indonesian context. The review findings indicate that AI has been utilized in various aspects of radiodiagnostics, such as mammography analysis, X-rays, and cervical cancer screening, while in radiotherapy, AI has been applied in auto-contouring, dose planning, and quality assurance. Although the potential of AI utilization is highly promising, the main challenges include limited local datasets, infrastructure readiness, regulations, and human resource competence. This article concludes that the development of AI in radiology and radiotherapy in Indonesia requires interdisciplinary collaboration, data standardization, policy support, and large-scale clinical validation studies to ensure safe, effective, and sustainable implementation.