J Kedra, L Gossec - Joint Bone Spine, 2020 - Elsevier
Conclusion Big Data is by its very nature an extremely vast, dynamic and constantly evolving field, which has the potential to transform medical research but which can also have an …
L Bayliss, LD Jones - The bone & joint journal, 2019 - boneandjoint.org.uk
This annotation briefly reviews the history of artificial intelligence and machine learning in health care and orthopaedics, and considers the role it will have in the future, particularly …
Artificial Intelligence (AI) in general, and Machine Learning (ML)-based applications in particular, have the potential to change the scope of healthcare, including orthopaedic …
AB Lisacek-Kiosoglous, AS Powling… - Bone & joint …, 2023 - boneandjoint.org.uk
The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of …
Background Driven by the recent ubiquity of big data and computing power, we established the Machine Learning Arthroplasty Laboratory (MLAL) to examine and apply artificial …
JM Helm, AM Swiergosz, HS Haeberle… - Current reviews in …, 2020 - Springer
Abstract Purpose of Review With the unprecedented advancement of data aggregation and deep learning algorithms, artificial intelligence (AI) and machine learning (ML) are poised to …
SA Bini - The Journal of arthroplasty, 2018 - Elsevier
This article was presented at the 2017 annual meeting of the American Association of Hip and Knee Surgeons to introduce the members gathered as the audience to the concepts …
J Olczak, J Pavlopoulos, J Prijs, FFA Ijpma… - Acta …, 2021 - Taylor & Francis
Background and purpose—Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have become common research fields in orthopedics and medicine in …
V Kumar, S Patel, V Baburaj, A Vardhan, PK Singh… - Journal of …, 2022 - Elsevier
Abstract Background Artificial Intelligence (AI) has improved the way of looking at technological challenges. Today, we can afford to see many of the problems as just an input …