Bone & JoInT ReseaRcH layer. as such, deep learning can be largely automatic once set in
motion, learning intricate patterns from even high-dimensional raw data with little guidance6 …

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 …

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 …

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 …

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 …

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 …

Background and purpose—Artificial intelligence (AI), deep learning (DL), and machine
learning (ML) have become common research fields in orthopedics and medicine in …

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 …