Publication Date

Spring 2024

Degree Type

Master's Project

Degree Name

Master of Science in Computer Science (MSCS)

Department

Computer Science

First Advisor

Robert Chun

Second Advisor

William Andreopoulos

Third Advisor

Sujan Rao Chikkela

Keywords

NLTK, Image Processing, Natural Language processing.

Abstract

Medical chatbots, at the conjunction of artificial intelligence and healthcare, are the very cornerstone of a transformative force in diagnostic capabilities and communication channels for healthcare professionals. The history of this journey, from early chatbot models to sophisticated systems, is born out of a relentless pursuit of accuracy and contextual understanding. This proposal acknowledges the critical role played by NLTK in raising the interpretability and communicative capabilities of intelligent systems, meeting challenges that arise from varying writing styles and accommodating the standards of the medical field. The integration of NLTK is a linchpin, bridging the gap between sophisticated technological architectures and the subtle nuances of the medical language. By harnessing NLTK's advanced linguistic processing capabilities, this project aims at refining subtleties in generating and interpreting medical text to develop a deeper understanding of the complex situation at clinical level. In other words, this project presents a leading edge for the development of medical chatbots, integrating image processing with a focus on the role played by NLTK in creating collaborative and intelligent healthcare solutions. By addressing linguistic nuances and communication challenges, we envision a future where medical chatbots, strengthened with the support of NLTK, not only undertake medical image interpretation with precision but also communicate results so seamlessly that they are easily integrated into healthcare diagnostics enriched by artificial intelligence.

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Available for download on Thursday, May 22, 2025

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