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Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review

Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review

Most importantly, Yang et al [39] explored the integration of Chat GPT with wearable devices to monitor physical activity levels, sleep patterns, and electrodermal activity, and update patient health profiles, allowing Chat GPT to adjust food recommendations dynamically. This integration allows the collection of patient data in real time and provides a dynamic and responsive health care management platform.

Caixia Li, Yina Zhao, Yang Bai, Baoquan Zhao, Yetunde Oluwafunmilayo Tola, Carmen WH Chan, Meifen Zhang, Xia Fu

J Med Internet Res 2025;27:e70535

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

In addition, GPT-4.0 struggled with the nuanced semantics of traditional Chinese medicine terms, such as “Yin-Yang imbalance” and “Qi Deficiency,” leading to misinterpretations. These errors are significant as they could affect downstream clinical applications, such as diagnostic accuracy and therapeutic decision-making.

Hao Yang, Jiaxi Li, Chi Zhang, Alejandro Pazos Sierra, Bairong Shen

J Med Internet Res 2025;27:e65537