Future Reps (Taylor's Version)

AI is entering rehab faster than a Taylor re-recording

Author

Matt Neufeld
October 20, 2025

Volume 28 October 20, 2025

From the Editor

Welcome back to Volume 28 of Future Reps! Millions of us are streaming Taylor Swift’s new album this week and here in the PT world it feels like a perfect metaphor: the refrain of “old things” (traditional workflows) meeting “new things” (AI driven tools), with the therapist still very much center stage. As Swift sings, “I’m the one who makes the call,” so too are physical therapists empowered to steer how AI augments care, not replacing our human touch, but amplifying it.

This issue brings three fresh pieces of research from the last 10 days relevant to AI in rehabilitation and physical therapy. I hope you’ll find ideas you can bring back to the clinic, whether it’s improving remote monitoring, customizing assist‭as‭needed robotics, or thinking about AI for cancer survivor rehab. Let’s dive in, with our playlist on shuffle, and keep rewriting the narrative so patients benefit.

📰 This Week's Highlights

1. “Harnessing artificial intelligence for cancer rehabilitation: A call to action”

Published: October 17, 2025 — Supportive Care in Cancer • Est. read time: 6 min
Summary:
This commentary emphasizes a growing, but under‐realized, opportunity for AI in cancer rehabilitation. The author argues that cancer survivors often face complex functional impairments (fatigue, deconditioning, lymphedema, neuropathy), and AI tools (such as predictive analytics, personalized exercise algorithms, remote monitoring) could help tailor rehab interventions and track outcomes. The piece stresses the need for robust data sets, multi‐disciplinary collaboration, and careful implementation (with transparency, equity, and usability front and center).
Why this matters for PTs:
Many physical therapists work with cancer rehab populations. This article signals that AI is coming into that space in force and we should be ready. It challenges us to think about how we might partner with data scientists, adopt platforms that support personalized dosing, and advocate for rehab outcomes to be included in AI‐tool development.

2. “Effectiveness of AI‐assisted rehabilitation for musculoskeletal disorders: A network meta‐analysis”

Published: October 16, 2025 — Frontiers in Bioengineering & Biotechnology • Est. read time: 7 min
Summary:
This network meta‐analysis included 33 randomized controlled trials of AI‐assisted rehabilitation in musculoskeletal disorders (e.g., osteoarthritis, tendinopathy, post‐operative conditions). It compared 13 AI‐enabled intervention types (AI feedback systems, exergaming platforms, telerehabilitation, robotic solutions) on key outcomes: pain relief, function, and range of motion (ROM). Findings: therapeutic exergaming and robotic exoskeletons ranked highest for pain relief; gamified exergaming and hybrid physical therapy + exergaming led for functional outcomes; single‐joint rehab robots and AI‐feedback motion training topped ROM gains.
Why this matters for PTs:
This meta‐analysis consolidates what various AI‐rehab tools can deliver—and where we might expect the bigger gains. For PT practices considering AI investments, it offers an evidence‐based lens. It also reminds us to keep outcome‐tracking robust: if you implement an AI tool, log pain, function, ROM and evaluate ROI or clinical value.

3. “AI‐Powered Rehabilitation Robotics: Advancements in and Impacts on Patient Recovery”

Published: October 10, 2025 — Cureus • Est. read time: 5 min
Summary:
This review explores how artificial‐intelligence driven rehabilitation robotics are evolving across neurological, musculoskeletal and prosthetic domains. It describes the historical evolution of robotic systems (from passive guided motion to sensor‐driven, actuated, adaptive systems), and how AI algorithms (for motion prediction, assistance dosing, patient–robot interaction) are pushing the frontier. The authors also describe ongoing challenges, including cost, training, usability, and clinical translation.
Why this matters for PTs:
If your clinic is or will be engaging with robotic systems, this review is a helpful orientation. The PT role remains central: robots don’t replace you, they augment your reach and consistency but you’ll need to understand how the robot/AI system works, what assumptions it makes, and how to integrate it with your clinical judgement.

What’s New in ManagePT

Feature Spotlight: Copilot Alpha Testing Begins
ManagePT is officially inviting select users to alpha test its new AI-powered Clinical Copilot a documentation and workflow assistant designed to help you write notes faster, track plan-of-care goals, and prep for evaluations with less friction.
Why it helps:
This early access program is your chance to shape how AI supports PT workflows. Alpha testers will get sneak previews of intelligent phrase suggestions, red-flag alerts, and even draft goals that learn from your style. If you're interested, contact your account rep or reply to this newsletter to request access.

Bonus Reads