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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

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Detection of Clinically Significant Drug-Drug Interactions in Fatal Torsades de Pointes: Disproportionality Analysis of the Food and Drug Administration Adverse Event Reporting System

Detection of Clinically Significant Drug-Drug Interactions in Fatal Torsades de Pointes: Disproportionality Analysis of the Food and Drug Administration Adverse Event Reporting System

Open Vigil 2.1-Med DRA-v24 [12], an open tool for data mining and analysis of pharmacovigilance data using cleansed FDA AE reporting data, was used to detect DDIs. In this study, the targeted AE was Td P, which was extracted from FAERS using the PT of Td P (PT code: 10044066). In these cases, all drugs classified as suspected drugs, interacting drugs, and concomitant drugs were included in the process to investigate DDIs. For signal detection, we focused only on combinations of 2 drugs with 3 or more cases.

Huanhuan Ji, Meiling Gong, Li Gong, Ni Zhang, Ruiou Zhou, Dongmei Deng, Ya Yang, Lin Song, Yuntao Jia

J Med Internet Res 2025;27:e65872

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