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Interact J Med Res
January 2025
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.
Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
JCO Glob Oncol
January 2025
Adults Solid Tumors Chemotherapy Department, Yeolyan Hematology and Oncology Center, Yerevan, Armenia.
Purpose: Pancreatic cancer is one of the deadliest cancers in the world. In Armenia, it is 12th by incidence. The aim of this study is to evaluate treatment and outcomes of pancreatic cancer in Armenia during the past 12 years.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
German Breast Group, Neu-Isenburg, Germany.
Purpose: To assess trial-level surrogacy value for overall survival (OS) of the pathologic complete response (pCR) and invasive disease-free survival (iDFS) in randomized clinical trials (RCTs) for early breast cancer (BC).
Methods: Individual patient data of neoadjuvant RCTs with available data on pCR, iDFS, and OS were included in the analysis. We used the coefficient of determination from weighted linear regression models to quantify the association between treatment effects on OS and on the surrogate end points.
Oper Neurosurg (Hagerstown)
November 2024
Department of Neurosurgery, Stroke Center, Sapporo Teishinkai Hospital, Sapporo, Hokkaido, Japan.
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