Top 5 AI Tools for Sports Scientists in 2025
- Jo Clubb
- Apr 23
- 4 min read
In this post, I demonstrate 5 AI tools sports scientists can use to work more effectively and efficiently.
Artificial Intelligence (AI) is the ability of a digital computer (or computer-controlled robot) to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalise, or learn from past experience. For more on AI, check out our articles on getting started and our AI Dictionary.
In sports science, we frequently think of AI in relation to performance and injury forecasting problems. However, I think we also need to utilise it in our everyday roles. This post explores five AI platforms that every sports scientist should consider incorporating into their toolkit. With each offering unique capabilities, from data analytics to literature reviews, these tools promise to enhance how we conduct research and analyse data. Be sure to watch the video further below to see all 5 in action!
Revolutionising Research with ChatGPT
ChatGPT, a frontrunner in the AI revolution, continues to impress with its versatile applications. It's the first tool I reviewed on the Global Performance Insights YouTube channel, demonstrating it two years ago (below), as well as the Premium Plus version more recently.
As an essential tool for sports science research, it not only facilitates dynamic query engagement but also now provides a reasoning feature to bolster the depth and accuracy of responses. By offering concise yet thoughtful answers, ChatGPT helps researchers verify their findings and generate comprehensive insights.
Harnessing the Power of Julius AI
Julius AI has positioned itself as a valuable asset for data analysts. Its capacity to generate charts, manipulate data, and produce code and reports is invaluable to sports scientists managing vast datasets. With a transparent process visible through step-by-step Python code, Julius AI is both a learning aid and a powerful analytical tool.
Ensuring data security remains a critical consideration, however. As I've previously discussed in this publication led by Stephen West, we have a responsibility to conduct our data processes in an appropriate, safe, and secure manner. While such AI tools provide an exciting avenue to support data analytics, it is paramount that we consider the data rights and ownership, management and access, ethics, governance, and policy issues that relate to their use.
Introducing SciSpace - The Ultimate AI Research Platform
SciSpace is a multi-functional research platform tailor-made for detailed literature reviews. As you'll see in the video above, it claims to be 'The Fastest Research Platform Ever'.
Beyond research queries, it offers tools for composing citations and transforming research into engaging video formats, SciSpace is versatile enough to handle various tasks seamlessly. Its capability to return top-tier papers with citations aids researchers in substantiating their hypotheses robustly. It is an indispensable resource for researchers aiming for a thorough academic grounding.
Dedicated to Sports Science - Sports Science AI
Sports Science AI is a tool designed explicitly for the sports science realm, built by Kevin Yven. By focusing on industry-specific databases, it provides targeted literature reviews and engages users in meaningful dialogues with PDFs of studies. Its ability to draw from an expansive repository allows researchers to explore the nuances of speciality sports science areas, unlocking insights essential for elevating research quality.
Kevin has offered the Global Performance Insights community 10% off your first 2 months of Sports Science AI PRO with the code JO2025
And keep a look out for a deeper dive into Sports Science AI coming soon!
Google Notebook LM - Your Cognitive Companion
Google's Notebook LM synthesises complex research notes into concise summaries. With its ability to handle varied source formats, the tool facilitates streamlined research organisation. Ideal for creating study guides, briefings, and interactive citations, Notebook LM serves as a secondary brain, supporting researchers in synthesising and retaining information effectively. I'm sure we all struggle with endless notes from conferences, podcasts, research, and other inputs - this may be the solution to storing and synthesising them!
Final Thoughts
Embracing these AI tools can significantly enhance how sports scientists work, allowing for more efficient and effective research processes. As AI continues to evolve, the potential applications within sports science remain vast, offering exciting possibilities for impactful research and practical application. I'll be diving deeper into these, and other AI tools in the coming months so make sure to subscribe so you don't miss out!
Frequently Asked Questions (FAQs)
What is a large language model?
A type of artificial intelligence (AI) that can understand and generate human-like responses, often using a very large dataset of text for training. These models, typically built using machine learning techniques, are trained on vast amounts of data, enabling them to recognise patterns in language and produce coherent answers.
What should I be cautious of when using AI tools?
Always validate the references and information provided by these tools. Despite enhancements, AI can still produce errors or misinterpretations (known as hallucinations), especially with complex queries.
Why is data security important when using AI tools?
Data security is paramount in safeguarding sensitive research information. AI tools require careful handling of raw data input to ensure data privacy and integrity, as they are a prime target for cyberattacks and data breaches. Protecting this data ensures the integrity of AI models, prevents unauthorised access to sensitive information, and maintains compliance with data protection regulations.
How do AI tools facilitate comprehensive literature reviews?
Tools such as SciSpace and Sports Science AI supports literature reviews with top paper suggestions, direct citations, options to customise your research focus, and the ability to chat with PDF documents.
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For more insights and explorations into these AI tools and more, make sure to follow me on YouTube and check out the Sports Science Tutorials playlist.
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