These sources explore the integration of Large Language Models (LLMs) like ChatGPT into qualitative research, examining their potential benefits and limitations across various fields, such as healthcare, education, and nursing. The studies investigate how LLMs can aid in tasks like data analysis, coding, and thematic analysis, while emphasizing the necessity of human oversight to maintain ethical standards and ensure data validity. Researchers address concerns regarding bias, privacy, and the potential for LLMs to generate inaccurate information, highlighting the importance of transparency and careful evaluation of LLM outputs. Several sources propose frameworks and guidelines for responsible AI adoption, advocating for a balanced approach where LLMs augment, rather than replace, human analytical skills. Ultimately, these papers call for further research and development in systematically using LLMs, addressing ethical considerations, and refining evaluation methodologies to maximize their potential while mitigating risks.