In this episode, Bob Allen, osteopath and movement specialist, and Clare Elsby, therapy coach, conclude their three-part series on AI in healthcare by focusing on its real-world benefits.

You’ll find out why AI works best not as a replacement for clinicians or therapists, but as assistive intelligence, where it supports good decision-making, improves access, and frees up time for us humans to provide better support.

From Bob’s osteopathic perspective, AI is particularly useful for triage and structured case history taking. These repetitive but essential questions can be handled efficiently by AI, allowing clinicians to focus on hands-on assessment, clinical reasoning, and nuance.

Bob also explains how AI can support movement analysis, exercise tracking, progression, and even gamification to help people stay engaged with their rehab long after their pain has settled.

AI also shows promise in medical diagnostics, where pattern recognition matters. In areas such as imaging and pathology, AI systems are already being used to help detect subtle changes linked to cancers and other serious conditions, sometimes spotting patterns earlier than the human eye or ear. Used correctly, this kind of support can improve early detection while still relying on clinicians to interpret results and make final decisions.

Clare applies her therapy and coaching lens, highlighting that empathy, emotional safety, and trauma-aware care remain human skills. Where AI shines is between sessions, supporting journaling, mood tracking, and identifying patterns and triggers.

Don’t worry if this feels unfamiliar; awareness is the first step, and these tools can help people notice what they might otherwise miss.

AI should always involve human oversight, clear boundaries, and ethical use. When used well, it can extend care without losing what makes healthcare human.

If you found this helpful, subscribe to the Pain Free Living Podcast for practical, evidence-based conversations about pain, movement, and modern healthcare.

1. AI works best as assistive intelligence, not a replacement for people
2. Triage, admin, and documentation are strong, safe use-cases
3. AI-supported diagnostics can aid earlier detection of serious disease
4. Exercise tracking and progression improve long-term rehab adherence
5. Empathy, ethics, and human judgment remain essential

1. Finch is a self-care app and you can find out more here https://finchcare.com/
2. AI-assisted diagnostics for heart conditions https://www.bhf.org.uk/informationsupport/heart-matters-magazine/research/ai-healthcare

😎 Learn more about Bob’s story: https://bit.ly/BobsOsteoStory

🤩 Find out more about Clare’s work: https://www.clareelsby.com/

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This podcast provides general information for educational purposes only. It is not medical advice and should not replace professional assessment,...