This post provides an intro to my new Sportsmith article, 'Integrating muscle volume analysis into athlete monitoring, training & rehab'

This post introduces Action Apps Virtual Assistant (AAVA) and includes a video demonstration of the AI-powered chatbot.

I explore five pivotal trends in sports science that are coming to the fore in 2025.

This post provides sports practitioners with an introduction to artificial intelligence and machine learning in sport.

This post discusses our new editorial "Big data. Big potential. Big problems?", which is a critical reflection on big data in sports.

Here we introduce our new publication in IJSPP: Predicting Soccer Players’ Fitness Status Through a Machine-Learning Approach

In this video, I give a demonstration of the ChatGPT Plus (Premium) plugin ScholarAI, and how you can use it to search scientific research.

This blog post discusses the importance of proactive training load management in times of fixture congestion in professional team sports.

This post explores how AI-driven analytics of MRI scans enables more detailed insights into body composition and musculoskeletal health.

In this video, I give a demonstration of the ChatGPT Plus (Premium) version.

My comment on Zone7’s white paper: The Importance of Workload, Strength, Recovery and Environmental Context Data in Injury Risk Forecasting

Video of my episode on the HIIT Science Training Science podcast, discussing AI, ChatGPT, sports science careers, and diversity in staff.

Here you'll find a link to my new free report with Zone7, entitled Applications of Artificial Intelligence within High Performance Sport.

Is it Man vs Machine when it comes to using artificial intelligence with athlete training load management, or can we use a hybrid approach?

What is ChatGPT? What is OpenAI? In this video, we'll demo the new chatbot driven by artificial intelligence (AI), ChatGPT.

AI providers in sports science need to intentionally craft their data visualisation designs to provide explainable & actionable outputs.

Sports scientists want to unpack the black box in sports technology but how can this work with artificial intelligence (AI) data science?

Why context is key in sports science data, and therefore any AI system too. But we should beware when our so-called context becomes bias.

Is the 'Big Data' collected in sports science big enough to train Artificial Intelligence models? Is the data quality clean enough?

Terms like AI & Machine Learning are poorly understood. With Zone7, we have put together an AI dictionary for sport science practitioners.