Artificial Intelligence in Sports Medicine

This Collection supports and amplifies

research related to SDG3, SDG4 and SDG10.

Artificial intelligence (AI) is transforming many industries worldwide from healthcare to education. Despite notable advancements, AI in sports medicine remains in its infancy. While some cutting-edge applications are making an impact, significant potential remains untapped, offering new opportunities to enhance sports medicine.  

Sports medicine is an interdisciplinary field encompassing several healthcare and science disciplines focused on athlete health, wellbeing and performance. This includes sport and exercise medicine as a core or subspeciality for physicians, sports surgery, sports science, sports rehabilitation, sports physiotherapy / physical therapy, sports dentistry, sports cardiology, sports podiatry, sports psychology, sports nutrition, etc. AI has the potential to transform these sports medicine environments providing innovative solutions that could bolster athlete health, wellbeing and performance.  

This collection invites original research, reviews, commentaries or case studies that explore the ethical and equitable development and use of AI systems (machine learning, deep learning, generative AI) in sports medicine. We welcome research that explores how AI systems could address the specific individual needs across the spectrum from elite Olympic or Para athletes to recreational athletes or people who exercise for health (e.g. living with chronic disease).

Topics of interest include, but are not limited to:

• Integrated approach to multimodal data collection and analysis for prediction and assessing injuries and medical conditions in sport
• Individualized diagnosis, treatment, and rehabilitation
• Strategies to ensure AI systems avoid harm by promoting diverse, complete and transparent datasets
• Developing open-source and explainable AI systems to enhance transparency and trust in sports medicine.