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As the obesity rate continues to increase persistently, there is an urgent need to develop an effective weight loss management strategy. Nowadays, the development of artificial intelligence (AI) and cognitive technologies coupled with the rapid spread of messaging platforms and mobile technology with easier access to internet technology offers professional dietitians an opportunity to provide extensive monitoring support to their clients through a chatbot with artificial empathy. This study aimed to design a chatbot with artificial empathic motivational support for weight loss called "SlimMe" and investigate how people react to a diet bot. The SlimMe infrastructure was built using Dialogflow as the natural language processing (NLP) platform and LINE mobile messenger as the messaging platform. We proposed a text-based emotion analysis to simulate artificial empathy responses to recognize the user's emotion. A preliminary evaluation was performed to investigate the early-stage user experience after a 7-day simulation trial. The result revealed that having an artificially empathic diet bot for weight loss management is a fun and exciting experience. The use of emoticons, stickers, and GIF images makes the chatbot response more interactive. Moreover, the motivational support and persuasive messaging features enable the bot to express more empathic and engaging responses to the user. In total, there were 1,007 bot responses from 892 user input messages. Of these, 67.38% (601/1,007) of the chatbot-generated responses were accurate to a relevant user request, 21.19% (189/1,007) inaccurate responses to a relevant request, and 10.31% (92/1,007) accurate responses to an irrelevant request. Only 1.12% (10/1,007) of the chatbot does not answer. We present the design of an artificially empathic diet bot as a friendly assistant to help users estimate their calorie intake and calories burned in a more interactive and engaging way. To our knowledge, this is the first chatbot designed with artificial empathy features, and it looks very promising in promoting long-term weight management. More user interactions and further data training and validation enhancement will improve the bot's in-built knowledge base and emotional intelligence base.
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http://dx.doi.org/10.3389/fnut.2022.870775 | DOI Listing |
Dtsch Med Wochenschr
September 2025
Klinik für Kardiologie, Angiologie und Pneumologie, Institut für Cardiomyopathien Heidelberg, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
Rapid advancements in Artificial Intelligence (AI) have significantly impacted multiple sectors of our society, including healthcare. While conventional AI has been instrumental in solving mainly image recognition tasks and thereby adding in well-defined situations such as supporting diagnostic imaging, the emergence of generative AI is impacting on one of the main professional competences: doctor-patient interaction.A convergence of natural language processing (NLP) and generative AI is exemplified by intelligent chatbots like ChatGPT.
View Article and Find Full Text PDFAnn Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFAJOG Glob Rep
August 2025
Department of Obstetrics, Gynecology & Women's Health, University of Hawaii, Honolulu, HI (Kho).
Background: Within public online forums, patients often seek reassurance and guidance from the community regarding postoperative symptoms and expectations, and when to seek medical assistance. Others are using artificial intelligence in the form of online search engines or chatbots such as ChatGPT or Perplexity. Artificial intelligence chatbot assistants have been growing in popularity; however, clinicians may be hesitant to use them because of concerns about accuracy.
View Article and Find Full Text PDFInt J Obstet Anesth
August 2025
Department of Liver Transplant Anaesthesia, Institute of Liver and Biliary Sciences, New Delhi, India.
Background: Epidural analgesia is the gold standard for labor pain relief, yet performing patient education remains challenging due to time constraints, language barriers, and variable health literacy. Traditional educational approaches often fail to ensure adequate patient understanding. Artificial intelligence (AI) interactive avatars offer a novel solution for delivering standardized, empathetic, and accessible patient education.
View Article and Find Full Text PDFCureus
August 2025
Department of Teaching and Research, The Second People's Hospital of Wuhu, Wuhu Hospital Affiliated to East China Normal University, Wuhu, CHN.
Narrative medicine is defined as a medical approach that utilizes the power of stories, both patients' illness narratives and healthcare providers' reflective accounts, to promote healing, foster empathy, and enhance the therapeutic relationship through close attention to the language, metaphor, and meaning embedded in illness experiences. Despite its growing importance in contemporary healthcare, comprehensive bibliometric analyses of narrative medicine research trends remain limited. This study aims to systematically map global research patterns, identify key contributors, and analyze thematic evolution in narrative medicine literature over the past two decades.
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