- Podcast
- 05/08/2022
- UK
Deep Learning in Orthopaedic Research
Description
In this August episode of The Bone & Joint Journal's podcast, Andrew Duckworth welcomes listeners and expresses gratitude for their ongoing support. Joined by Editor-in-Chief Professor Fares Haddad and Dr. Jonathan Vigdorchik, the discussion centers around the topic of 'Deep Learning in Orthopaedic Research', highlighting the rapid increase in literature concerning AI and its applications within the field of medicine. The guests provide insights into what AI and deep learning entail, how they are currently integrated into clinical practice, and their potential future roles. They touch on the usage of AI in interpreting medical data and radiology, emphasizing its growing significance in efficient healthcare delivery. The conversation also addresses challenges posed by the increasing volume of AI-related submissions to journals, the need for methodological transparency, and the importance of critical evaluation of AI studies, with a focus on proper reporting guidelines like TRIPOD. Ultimately, the podcast concludes with a recognition of the indispensable human element in interpreting AI-generated data, encouraging ongoing dialogue among listeners.
DOI: 10.1302/3114-221864