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It is important to note that we neither added nor removed any entities from the conversations as reported in the benchmark SD dataset. Additionally, the curated dataset has been carefully reviewed to ensure that it does not disclose any personal information of users. The dataset underwent thorough verification by clinicians, guaranteeing that it aligns with ethical and clinical principles at every step of its formation. Furthermore, we obtained approval from the ethical review board of our institute to utilize the dataset and conduct our research.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"The authors of this manuscript consent to its publication.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors declare that they have no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interest"}},{"value":"We would like to clarify that the Diagnosis-Logue dataset has been inadvertently utilized and thus described in two papers: this paper and Mohit et al. (2024) []. This occurred because one of the reviewers for the other paper suggested adding a module that required dialogue corpora, and no other conversational symptom investigation and diagnosis dataset was available.At that time, this paper was in review. Thus, we described the dataset in detail in the other paper [] as well. Now, we have cited the other paper in the dataset section to avoid any confusion . Moreover, we reviewed the similarity report and found less than 3% similarity in the dataset descriptions in these papers.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Diagnosis-Logue Development"}}]}}