Artificial Intelligence in Orthopaedic Imaging: Present State, Obstacles and Prospects for the Future

Abstract

In particular, digital technology has improved healthcare for humans. The development of software to enhance the provision
of high-quality care and patient management has been greatly advanced by computer processing of big data and data science.
Here we will take a look at the latest developments in various imaging modalities as they relate to cutting-edge AI (Artificial
Intelligence) technology. We will also provide a quick rundown of the problems that these advancements are causing. A total
of twenty papers from a variety of journals were consulted in compiling this assessment. Some of the databases that are used
include PubMed, Scopus, Springer, Research Gate, and a number of magazine blogs. When it comes to directing the proper
treatment and management of a wide range of musculoskeletal problems, AI has shown to be an invaluable tool for physicians
and orthopedic surgeons. X-rays, MRI, CT scans, and other imaging modalities may be used to detect osseous anomalies including
cancers, fractures, and spine problems with the use of AI-assisted tools such as Bone View, BoneXpert, XRAIT, the fastMRI
dataset, and Spin Analyzer. AI has the potential to develop a computerized information system that can identify changes in bone
density or loss, fractures, cancers, and other medical conditions, allowing for more accurate diagnosis and treatment. Also, as
we’ll see with x-rays later on, AI tools can take over a lot of the repetitious labor that doctors do. This makes doctors’ jobs easier,
which means they can focus on providing better treatment and have more time to do other things.