The accurate placement of a nasogastric tube is a critical procedure in medical practice, where precision is paramount. Incorrect positioning of the tube can lead to severe complications, including pulmonary aspiration, tissue perforation, and inadequate nutritional delivery. Recognizing this, our study introduces a groundbreaking approach to automate the detection of nasogastric tube positions in chest X-ray images. This method leverages advanced deep learning techniques, with a particular focus on the application of active learning methodologies. The primary objective of this study is to enhance patient safety and improve the efficiency of medical diagnostics through the use of this innovative technology.