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Hi! Welcome back.

Recently, OpenAI published how people use ChatGPT.

They have 700M users sending 18 billion messages per week. 28.3% of those messages involve practical guidance like teaching, how-to’s, and health, fitness, and self-care (5.7%).Writing takes the 2nd place with 28.1%. And in the 3th place there’s seeking Information (21.3%).

This shows how people are eager to learn. I would love to know how you use ChatGPT. If you’d like to check the rest of the results, I added the link at the end.

Now, time to check today’s issue.

🤖 AIBytes

This study explored whether a soft robotic hand orthosis, RELab tenoexo 2.0 could help stroke survivors improve hand function—first with therapists in a clinic, then by themselves at home.

🔬 Methods

2 phase study: 3 weeks in the clinic and 2 weeks at home.

Participants: 8 adults with chronic hemiparetic stroke (35-69 years old).

  • 9 supervised sessions in clinic performing functional tasks.

  • At home: 10 sessions x 1 hour unmonitored.

Assessments:

📊 Results

  • Participants completed 81% of the suggested time and 118% of the suggested sessions.

  • At-home training showed higher grasp repetitions per hour (150.8 vs. 98.2 in clinic).

  • Action Research Arm Test: +5.0 points.

  • Fugl Meyer: +6.0 points.

  • Improvements were retained after a 1-month.

  • No significant changes in spasticity and quality of life.

🔑 Key Takeaways

  • The RELab tenoexo 2.0 robotic glove enabled high-dose, functional hand training. Both in clinical and at-home.

  • Functional improvements were retained at follow-up.

  • Home-based therapy did not reduce training quality or quantity.

  • Quality of life scores did not change significantly, likely due to the short intervention duration.

🔗 Tanczak N, Plunkett TK, Lin S, et al. Feasibility of post-stroke hand rehabilitation supported by a soft robotic hand orthosis in-clinic and at-home. J NeuroEngineering and Rehabilitation. 2025;22:183. doi:10.1186/s12984-025-01717-6.

This study tested whether an AI coaching app could replicate Physiotherapist feedback during lower-limb exercises by comparing joint kinematics and muscle activation in healthy adults.

🔬 Methods

Participants: 11 healthy adults (24.1 ±4.1 years). Each subject performed each exercise 10 times with the left leg.

  1. Physiotherapists.

  2. Merlin Ltd app; a movement tracking appnwith corrective voice feedback

Assesments:

  • Hip/knee kinematics using an infrared marker system called CodaMotion.

  • Surface electromyography from 7 hip and knee muscles.

📊 Results

  • Significant differences in kinematics and muscle activation.

  • Range-of-motion equivalence: 58% for hip angles and 67% for the knee.

  • Joint angles and EMG were not equivalent.

  • The App struggles with multi-planar control.

🔑 Key Takeaways

  • AI feedback did not consistently match Physiotherapist feedback in muscle activation or joint angles, but showed similar range of motion guidance.

  • The tracking system misses data that Physiotherapists identify and correct (tactile facilitation).

  • AI may serve as a supplementary tool between PT sessions to support adherence and technique.

🔗 Amos D, Godfrey I, Tehranchi S, Miller S, Lack S. Does artificial intelligence feedback result in different kinematic and muscle excitation patterns compared to physiotherapist feedback during lower-limb rehabilitation exercises? Clinical Biomechanics. 2025;130:106648. DOI: 10.1016/j.clinbiomech.2025.106648

🦾TechTool

  • Turns your text into diagrams, charts, and infographics automatically.

  • You can edit and customize colors, icons, layout, etc.

  • Once it’s done, you can export your content and use it for presentations or personal use.

  • Helps you explain and understand complex ideas visually.

  • An app that can be used with a smartphone for lower back pain.

  • Gives real time feedback for remote therapy sessions.

  • Trials showed it improved function and reduced pain.

  • Used between therapy visits to keep patients engaged and check progress.

  • An app that turns voice notes and meetings into text.

  • Works in more than 100 languages.

  • Captures the audio: all you have to do is edit, copy, and paste.

  • Perfect for rounds, lectures, and quick ideas between clinic blocks (Just be careful of your privacy).

🧬AIMedily Snaps

  • Do Doctors Trust their peers who use Gen AI? (Link).

  • The use of AI to create viruses that target bacteria (Link).

  • Mayo Clinic researchers developed a new way to predict whether existing drugs could be repurposed to treat heart failure (Link).

  • NEJM AI: A Framework for clinical trial simulation from real data (Link).

🧩TriviaRX

When and why was occupational therapy formally organized in the U.S.?

A) 1913
B) 1917 C) 1923
D) 1946

Here’s the answer from last week. B) MYCIN — Stanford researchers developed a system that recommended antibiotics, becoming a landmark in medical AI research.

We’re done for today.

You’re already ahead of the curve on AI in rehabilitation — don’t keep it to yourself. Forward AIMedily to a colleague who’d appreciate the insights (and make my day 😊).

Here is the link from OpenAI on ChatGPT (Link)

Thank you for being here!

Until LLM Friday.

Itzel Fer, MD PM&R

Follow me on LinkedIn | Substack | X | Instagram

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