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http://dx.doi.org/10.1136/bcr-2021-242000 | DOI Listing |
BMC Cardiovasc Disord
December 2024
Department of Electrocardiology, The Third Affiliated Hospital of Wenzhou Medical University, No.108 WansongRoad, Wenzhou, 325200, People's Republic of China.
Background: Ventricular separation is a multipart, extensive disease of the heart that hinders the electrical conduction of the cardiac system ventricular muscle, causing a bidirectional conduction block. The occurrence of ventricular separation suggests that the myocardium is in a state of severe ischemia, and the prognosis is generally poor. Herein, we present arescue case in which the extremely rare phenomenon of ventricular separation developed and was documented in realtime.
View Article and Find Full Text PDFBMC Cardiovasc Disord
December 2024
Departmentof Cardiology, Wuhan Asia Heart Hospital, Wuhan, China.
Background: Coronary Artery Spasm (CAS) often presents in the epicardial coronary arteries. The anterior septal branch is distributed within the myocardium, and occurrences of spasms are rare. Currently, there is no available literature on this topic, and the onset of symptoms remains elusive, potentially leading to misdiagnosis.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Infectious Disease, Shaoyang Central Hospital, Shaoyang, China.
Objective: To investigate which fluoroquinolone is safer when combined with bedaquiline for tuberculosis treatment by using the FDA Adverse Event Reporting System (FAERS) database.
Methods: We selected data from the first quarter (Q1) of 2013 to the second quarter (Q4) of 2024 from the FDA FAERS database for disproportionality analysis. Signal detection was conducted using the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM).
J Family Med Prim Care
November 2024
Department of Basic Science College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Chin Med J (Engl)
December 2024
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results.
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