Natural Language Chatbots in Biomedical Translations in Nigeria

Abstract

In recent years, technology integration into the healthcare sector has witnessed significant advancements, with natural language chatbots emerging as a promising tool for improving communication and accessibility in various domains. This article explores the evolving role of natural language chatbots in the context of biomedical translation in Nigeria. Three objectives were formulated to guide the study. The design methodology use for the study is Natural language chatbots for medical diagnosis. The method employs a literature review approach to synthesize relevant literature on the impacts of Natural Language Chatbots in Biomedical Translations in Nigeria. This methodology is suitable for the research objectives as enables the identification and analysis of extant knowledge and best practices in the field. The challenges of Biomedical, translational practice in Nigeria were discussed. The historical development of Natural language chatbots globally was traced. Finally, the role of natural language chatbots in biomedical translation in Nigeria was examined. The study concludes that by addressing language barriers and improving patient-provider interactions, chatbots can enhance healthcare delivery and accessibility. Finding indicates that a successful implementation requires a comprehensive understanding of Nigeria's linguistic, cultural, and technological landscape. The recommendations include implementing ethical guidelines and best practices to mitigate potential risks and ensure responsible use of the Natural Language Chatbots. The study also recommended human involvement in Natural language chatbots for medical diagnosis to ensure human judgment invest in training and reskilling programs for workers whose jobs may be impacted by the adoption of Natural Language Chatbots in Biomedical Translations in Nigeria.