Authors’ reply to Saravanan

Abstract

We thank Dr. Saravanan[1] for showing interest in and providing a perceptive analysis of our article “Advancements and challenges of natural language processing in oral cancer research: A narrative review,”[2] published in the last issue of Cancer Research, Statistics and Treatment journal. We acknowledge the potential of grey literature, including conference proceedings, theses, and government reports. Grey literature was excluded to maintain a focus on peer-reviewed and high-impact studies. We agree that incorporating grey literature could provide an exhaustive perspective on current natural language processing (NLP) applications and their emerging role. Furthermore, we concur with Dr. Saravanan’s suggestion that creating user-friendly and comprehensible NLP tools for healthcare providers is essential.[1] The involvement of clinicians in the design and testing of these tools is crucial to ensure practicality and efficiency in clinical settings. Moreover, providing adequate training and support to clinicians will be of paramount importance for the successful adoption and optimal usage of NLP.[3] In addition, ensuring patient confidentiality and safeguarding data integrity are a must when using NLP in medical research. We appreciate the recommendation to discuss modern de-identification techniques and secure data-sharing mechanisms in greater detail. Implementing robust ethical frameworks and adhering to regulations like the General Data Protection Regulation (GDPR) will be key to promoting the responsible use of NLP in clinical research.[4] Similarly, we support the emphasis on multidisciplinary collaboration and the idea of establishing working groups which could facilitate continuous communication and co-operation, thereby expediting the development of NLP algorithms.[1] Such collaborations will undoubtedly ease data sharing and nurture impactful research. In conclusion, we appreciate the constructive feedback and believe that addressing these points will lead to significant progress in the domain of NLP applications in oral cancer research. The potential benefits of NLP in this field are substantial, and overcoming the discussed challenges will be essential to fully realizing these benefits. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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