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This article discusses a study that explores the use of GPT-4, a generative pre-trained transformer, as a tool for extracting data from unstructured medical records. The study involved drafting fifty fictitious patient records in German and providing GPT-4 with instructions on how to process each one. The accuracy, recall, precision, and F1-Score of GPT-4 were assessed for various variables, and it was found that GPT-4 exhibited excellent performance in both text-mining and classification tasks. The study concludes that reliable data extraction from unstructured medical records is possible with the GPT-4 chatbot. [Extracted from the article]

This article discusses the impact of minimally invasive coronary artery bypass surgery (MICS CABG) as an alternative to traditional surgery. The study analyzes the short-term outcomes of this approach for single- and multi-vessel diseases. The results show that MICS CABG is a safe procedure with low mortality and morbidity rates. The study also found low rates of reoperations and graft-related complications. These findings support the use of MICS CABG as a standard of care in coronary surgery. [Extracted from the article]