A Review on Automated Medical Diagnosis

The technology uses robotics, artificial intelligence (AI), and machine learning (ML) to automate the process of medical surgery with a focus on treating bone fractures. These technological advancements could enhance surgical accuracy, effectiveness, and safety. Bone fractures are common in humans. They can happen as a result of high pressure being applied to the bone, an accident, osteoporosis, or bone cancer. Consequently, getting an accurate diagnosis of a bone fracture is an important aspect in the medical field. X-ray and CT images were used to analyze bone fractures. This project aims to create a productive system based on image processing By utilizing AI and ML algorithms, the system can analyze medical imaging data, track tissue movement, and assist in surgical planning. Images of the fractured bone are obtained from the hospital and processing techniques including edge detection, segmentation, and pre-processing approaches for feature extraction are used. The enhanced images will be further divided into bone that has been broken and bone that has not been fractured, and the accuracy of different projects is fully employed using MATLAB the software for loading images and processing images The ultimate objective of the project is to develop an automated medical surgery system that enhances patient safety, decreases human error, and improves surgical outcomes. This technology can potentially transform the practice of surgery by utilizing the capabilities of AI, ML, and robotics.