Disaster Victim Identification (DVI) is a critical component of disaster management, requiring multidisciplinary efforts to accurately identify victims of mass fatality incidents. Despite significant technological advancements, challenges persist in efficiently and accurately identifying victims, particularly in complex disaster scenarios. This review examines the question: How have recent technological advancements in DVI addressed current challenges, and what are the future directions to enhance the efficiency and accuracy of DVI operations? By synthesizing recent innovations in DNA analysis, forensic odontology, fingerprint identification, and information management systems, this paper highlights how these advancements have improved DVI processes. The paper also explores potential future technologies, such as artificial intelligence and machine learning, and discuss the importance of international collaboration and ethical considerations. The findings aim to inform experts in the field and guide future research and practice to overcome existing challenges in DVI.