Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

August 7, 2024

Recent developments in artificial intelligence have sparked a surge of interest in medical applications. In a recent publication by Artificial Intelligence in Medicine, Dr. Laith Alzubaidi led a comprehensive review focused on deep learning in orthopaedics. This extensive 40-page review delves into the applications, challenges, trustworthiness, and fusion of AI in orthopaedics and medicine. For those seeking insights into the world of artificial intelligence in orthopaedics, this publication is a valuable resource. Explore the full review here: https://www.sciencedirect.com/science/article/pii/S0933365724001775.

Title: Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Publication Date: 25th July 2024
Publisher: Artificial Intelligence in Medicine
Link: https://www.sciencedirect.com/science/article/pii/S0933365724001775
First Author Bio: Dr Laith Alzubaidi
Laith is a postdoctoral researcher in the School of Mechanical, Medical, and Process Engineering at the Queensland University of Technology.
He holds a master’s degree in computer science from the University of Missouri (2016), USA. He has been awarded two scholarships: the Prime Minister of Iraq’s Outstanding Students Scholarship, received during his master’s degree, and a second scholarship awarded by the QUT for his Ph.D. He has published more than 40 refereed research papers. He is collaborating with other researchers around the world including USA, UK, Spain, Australia, and Malaysia, leading to more than 25 joint research publications.

@ashish_gupta_brisbane