Artificial Intelligence and Bone Fracture Detection

Abstract

Bone fractures are the most frequent type of injury sustained in accidents. Clinicians mostly use radiographs and CT (computed tomography) scans to diagnose fractures, yet it is frequently impossible to make a correct diagnosis only from images. Also, a lack of doctors in areas where healthcare is scarce, a lack of specialized medical staff in overpopulated hospitals, or pressure caused by a high workload may all make it more likely that a fracture will be misdiagnosed or not heal well. “Artificial intelligence” (AI) is the process of programming computers to act like smart people with little or no human interaction. Using computer vision and AI techniques like deep learning and machine learning for image processing is becoming more and more important for recognizing bone fractures. This chapter begins by discussing bane fracture and its different kinds. Consequently, the function and uses of AI in bone fracture are described. This chapter also discusses various algorithms based on machine learning and deep learning and their importance in bone fracture detection.

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