JIITA, vol.8 no.2, p.938-950, 2024, DOI: 10.22664/ISITA.2024.8.2.938
Sang Suh*, Rama Krishna Kamma
Computer Science Department Texas A&M University-Commerce
Abstract: In the rapidly evolving realm of AI-driven medical consultations, linguistic inclusivity is paramount. The exchanges between patients and doctors obtained from a popular internet resource for medical consultations. In AI-driven medical consultations, the lack of multilingual support in online platforms for patient-doctor interactions poses a significant challenge to achieving linguistic inclusivity. This project introduces Medichat, a revolutionary platform designed to enhance the accessibility, comprehensibility, and reliability of medical advice. By fine-tuning language models, integrating multilingual support, and implementing a self-directed information retrieval system, Medichat empowers users with a universal and secure tool for healthcare guidance. The model’s responsiveness is significantly improved through real-time data retrieval from trusted sources, while privacy concerns are addressed with anonymized patient- doctor interactions. Moreover, the project achieves multilingual accessibility by integrating a high-precision translation model and successfully leverages the strengths of various AI components. Medichat represents a significant leap forward in medical AI, offering a comprehensive and inclusive solution for modern healthcare challenges.
Keywords: Chatbot; Artificial Intelligence; Medical.
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