Artificial Intelligence (AI): A Potential Game Changer in Regenerative Orthopedics-A Scoping Review.

Background And Aims: Regenerative orthopedics involves approaches like stem cell therapy, platelet-rich plasma (PRP) therapy, the use of biological scaffold implants, tissue engineering, etc. We aim to present a scoping review of the role of artificial intelligence (AI) in different treatment approaches of regenerative orthopedics.

Methods: Using the PRISMA guidelines, a search for articles for the last ten years (2013-2024) on PubMed was done, using several keywords.

Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping review.

Background And Objectives: Machine Learning (ML) and Deep Learning (DL) are novel technologies that can facilitate early diagnosis of Ankylosing Spondylitis (AS) and predict better patient-specific treatments. We aim to provide the current update on their use at different stages of AS diagnosis and treatment, describe different types of techniques used, dataset descriptions, contributions and limitations of existing work and ed to identify gaps in current knowledge for future works.

Methods: We curated the data of this review from the PubMed database.