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Hi!
Welcome to AIMedily.
This week, I was debating whether I should teach my 7-year-old son how to use some AI tools. We are not 100% against screens at home, but we’re pretty restrictive. Why? Because we want them to have time to spend outdoors, play, read, and be creative.
But this past week, I was exploring Pika, an AI art app that a friend of mine recommended. I asked my son to imagine something, no limits, just imagination. After a few minutes, we were able to create a great video.
Although, I prefer him to create from a blank paper and a pencil to use his body and explore his imagination, creating art with AI can be a fun way to explore creativity. Have you use AI to create something?
Let’s dive in into today’s issue.
🤖 AIBytes
This study tested whether a soft robotic ankle exoskeleton could improve gait in adolescents with hemiplegic cerebral palsy.
🔬 Methods
Participants: 10 adolescents (11–16 years, Gross Motor Function I) with hemiplegic cerebral palsy.
Intervention: Walking on a treadmill with and without the ReWalk ReStore® exosuit. 5 participants also got tested walking with their usual ankle-foot orthosis.
ReWalk ReStore provided dorsiflexion and plantarflexion assistance to the ankle.
Measures:
Gait biomechanics (motion capture, ground reaction forces).
Muscle activity (electromyography of tibialis anterior and gastrocnemius medialis, n=7).
Energy cost of walking (oxygen consumption).
📊 Results
Ankle dorsiflexion: Increased during swing phase with the exosuit (p=0.022)
Ground contact: Improved (p=0.005)
Ankle moment: Slightly higher with exosuit, but no increase in ankle power.
Energy cost and muscle activity did not show significant changes.
Exosuit vs AFO: Both improved swing dorsiflexion, but the exosuit preserved push-off plantarflexion.
🔑 Key Takeaways
Ankle exo-suit can immediately improve ankle kinematics and drop-foot in adolescents with hemiplegic cerebral palsy.
ReWalk ReStore® increased ankle dorsiflexion during the swing phase.
It allowed a more natural plantarflexion at push-off than the regular ankle-foot orthosis.
No short-term benefits for energy efficiency or muscle activation.
💡The ankle exosuit has potential to be a therapeutic tool to improve functional mobility and autonomy in children with Cerebral Palsy.
🔗 Thurston M, Piitulainen H, Vujaklija I, Avela J, Kulmala J-P. Acute effects of ankle exosuit on biomechanics, muscle activity, and energy cost of walking in adolescents with unilateral cerebral palsy. Clin Biomech. 2025;130:106665. doi:10.1016/j.clinbiomech.2025.106665.
This study evaluated how ChatGPT-4o and DeepSeek-V3 performed when answering common patient education questions about spinal cord injury.
🔬 Methods
Questions: 48 SCI-related questions from the top 5 most-searched topics on Spinal Cord Injury, like symptoms, treatment, and rehabilitation extracted from Google Trends.
Examples: "What is spinal cord injury," "spinal cord injury symptoms," "spinal cord pain," "spinal cord injury treatment," and "spinal cord injury rehabilitation."
Evaluation: 3 rehabilitation physicians with experience in Spinal Cord Injury scored answers using the S.C.O.R.E. framework: Safety, Consensus with Guidelines, Objectivity, Reproducibility, and Explainability
📊 Results
Both models achieved high overall ratings above 4.0 in most domains.
DeepSeek-V3 was stronger in:
Objectivity (P = 0.014)
Reproductibility (P = 0.007)
Explainability (P < 0.001)
Both models provided some inaccurate details.
No significant differences found in:
Safety
Consensus with Guidelines
🔑 Key Takeaways
Both models achieved high ratings for Safety and Consensus with Guidelines.
DeepSeek provided more consistent, detailed, and comprehensive responses.
Both models occasionally contain clinical inaccuracies that require physician oversight before patient use.
💡Large language models show promise as supplementary educational tools but need continued evaluation and clinical supervision.
🔗 Lau JYS, Sng GRG, Cao R, Chen J. A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence “speak” spinal cord injury? J Spinal Cord Med. Published online September 12, 2025. doi:10.1080/10790268.2025.2554013
🦾TechTool
The ChatGPT version that’s trained in physiotherapy.
Can generate exercise programs and adapt rehabilitation plans.
It can help with decision-making providing evidence-based clinical support.
Helpful for education purposes.
Human motion capture and kinematic analysis using only a smartphone.
Can support assessments, baseline tracking, and provide real-time range of motion.
The video analysis is processed on your device.
Is free for individuals.
Lets you quickly record voice notes anytime, replacing typing with speech.
Transcribes audio into text for easier searching and organization.
Syncs across devices so notes are always accessible.
Great for capturing ideas, reminders, or clinical thoughts.
🧬AIMedily Snaps
Harvard AI model capable of identifying treatments that reverse disease states in cells (Link).
Smart room for patients with spinal cord injury equipped with sensors, and AI (Link).
Harnessing AI for shoulder ultrasonography: A narrative review (Link).
AI + Health Standford conference online, December 9-10 (Link).
🧩TriviaRX
Which early AI system created in the 1970s at Stanford is considered one of the first attempts to apply AI to medical diagnosis?
A) IBM Watson
B) MYCIN
C) Deep Blue
D) INTERNIST-1
Now, let’s see if you got the right answer last week.
✅ A) Continuous passive motion (CPM) device.
In the 1970s, John Saringer adapted the pedal motion of sewing machines into one of the first CPM devices, which helped move joints gently after surgery.
That’s it for today.
As always, thank you for being part of this community.
If you have suggestions, don’t hesitate to reply to this email.
Thank you!
Until LLM Friday.
Itzel Fer, MD PM&R
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