Abstract
Protein energy malnutrition (PEM) is a global public health concern, and personalized treatment approaches are crucial for improved outcomes. This study explores the transformative potential of Chat GPT, an AI language model, in revolutionizing personalized treatment for PEM. By providing accurate information, personalized dietary recommendations, food choices, psychological counseling of the patient and real-time monitoring and support, Chat GPT can enhance the effectiveness of PEM interventions. Along with the benefits it is also important to acknowledge its potential flaws and limitations. The study emphasizes the importance of collaboration between AI technology and healthcare professionals to leverage Chat GPT's capabilities effectively. By combining human expertise with AI capabilities, personalized PEM treatment can be revolutionized, leading to improved patient outcomes and a comprehensive approach to addressing this global public health concern. The study highlights the significant impact of Chat GPT in providing tailored guidance and continuous support throughout the treatment process, empowering individuals and improving their overall well-being.
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Acknowledgements
It is acknowledged by the author that the some of the content of this manuscript is partially generated by AI (ChatGPT by OpenAI, GPT-3.5; https://chat.openai.com) for exploring the roles of chatGPT in human nutrition and dietetics. However, the editing has been entirely performed by the human.
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Khan, U. Revolutionizing Personalized Protein Energy Malnutrition Treatment: Harnessing the Power of Chat GPT. Ann Biomed Eng 52, 1125–1127 (2024). https://doi.org/10.1007/s10439-023-03331-w
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DOI: https://doi.org/10.1007/s10439-023-03331-w