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Hi! Welcome back to AIMedily.
Last week, I started helping at the University of Michigan in the Neurobionics Lab (Which I’m very excited about).
I’ll be participating in research using a Variable Stiffness Prosthetic Ankle (VSPA) on amputee patients.
I’ve also been working on;
A glossary of terms used in AI and Rehabilitation Medicine
Making a list of AI TechTools
Once they’re ready, I’ll share them with you.
Lately, more articles on Large Language Models (LLMs) have been published. In most cases, they’re not specifically in Rehabilitation. But the information is useful for any medical professional.
This week, I’ll send you another email, only on LLMs. It will contain research and LLMs on the market that you can use. Because of that, this week I only included 2 summaries.
Now, let’s dive into today’s issue:
🤖AIBytes: How imagining movements using BCI and Robotic Training promotes Neuroplasticity in patients with Cerebral Palsy.
Researchers tested HIIT + Exoskeleton in Stroke Patients to train gait.
🦾TechTools: A wristband that controls your smart devices with minimal finger movements. An AI assistant that takes notes in 100 languages, and more.
🧬AI Medily Snaps: 1st clinical study using Neuralink (Elon Musk BCI), AI in orthopedics, and more news.
🧩TriviaRX: Did you guess the correct answer?
🤖 AIBytes
Motor imagery brain-computer interface (MI‑BCI) is an interface where the user controls a computer by imagining motor movements.
This paper tested how a motor imagery brain-computer interface (MI-BCI) plus Robotic Therapy modulates brain activity in children with Cerebral Palsy.
🔬 Methods
Participants: 20 children (4-6 years) with spastic diplegia.
Gross Motor Function Classification II-III (GMFCS).
Interventions: EEG recordings during:
REST (baseline)
MI (motor imagery alone) Patient doesn’t enter the exoskeleton but controls it through motor imagery.
MI-BCI (MI + robotic feedback) Patient enters the exoskeleton and performs MI to control the robot. (here to see equipment).
📊 Results
↑15% in attention activity during MI-BCI vs REST (p<0.05)
↓18% in sensory activity during MI-BCI (p<0.05)
↑22% in cognitive activity during MI-BCI vs MI alone (p<0.05)
↑ Frontoparietal connections
↑ Motor-visual integration
🔑 Key findings
MI‑BCI training significantly changes EEG microstates associated with attention, motor planning, and execution.
MI-BCI improves sensorimotor integration.
Robotic feedback increases the benefits of motor imagery alone, potentially improving rehabilitation outcomes.
🔗Qi W, Zhang Y, Su Y, et al. Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI. Sci Rep. 2025;15:12285. https://doi.org/10.1038/s41598-025-96946-z
This paper compared the effects of High-Intensity Interval Training (HIIT)+ Robot-Assisted Gait Therapy vs Treadmill Training in Stroke patients.
🔬 Methods
Study design: Randomized controlled trial.
Participants: 44 chronic stroke patients (mean age 57.4 ± 11.6 years) randomly assigned to:
High Intensity Interval Training + Morning Walk® Robot (n=22) (video of the Robot here).
Treadmill Gait Training (n=22).
30 min, 3x/week for 8 weeks (24 sessions)
HIIT 2 min high-intensity intervals (60–80% heart rate reserve) with 1 min rest.
Assessments:
📊 Results
The Robot-assisted + HIIT group significantly improved in the 10-Meter Walk Test (p < 0.001).
Comparing both groups, the Robot-assisted + HIIT showed improvement in:
2 Meter walk Test (p = 0.008)
Functional Ambulation Category (p = 0.009)
Berge Balance Scale (p = 0.015)
FMA-LE (p < 0.001)
VO₂max (p = 0.005)
🔑 Key Takeaways
HIIT + Robot-Assisted Gait Therapy enhanced walking speed, balance, and lower limb function in chronic stroke patients.
8 weeks of treatment provide more gain than treadmill training.
Cardiopulmonary fitness (VO₂max) also improved significantly.
The synergistic effects of robotic + HIIT offer a promising approach for functional recovery in this population.
🔗 Kim J, Do J, Bae CR, Mo YH, Kim JH, Kim DY. High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial. J Neuroeng Rehabil. 2025;22:173. https://doi.org/10.1186/s12984-025-01674-0
🦾TechTools
Meta EMG wristband: The wristband uses surface EMG and Machine learning, allowing you to control your devices by performing minimal movements (phone, computer). (Link).
SpinachAI: An AI assistant that takes notes and makes summaries during your meeting in 100 languages (Link).
SullyAI: AI Agents to automate medical tasks. Create agents to serve as medical interpreters, receptionists, scribes, medical coders, and nurses (Link).
Research Rabbit: A free App to find medical articles, group them, build citation maps, and track research trends (Link).
🧬AIMedily Snaps
University College London Hospital will initiate GB-PRIME, the first clinical study utilizing Neuralink.
Can AI Accelerate Science? A Podcast with Dr. Andy Beam from Harvard (Link)
A review article on AI in orthopedics (Link)
IEEE-RAS 24th International Conference on Humanoid Robots. Sept 30–Oct 2, 2025 in Seoul, Korea (Link)
Researchers from Stanford create ‘virtual scientists’ to solve complex biological problems (Link)
🧩TriviaRX
What was one of the first robotic devices ever used in neurorehabilitation?
A) HAL exoskeleton
B) Lokomat
C) MIT-Manus
D) ReWalk
Now, the answer from last week's TriviaRX: ✅ B) Galen
The Greek physician who treated gladiators in the Roman Empire. He used exercise in the practice of medicine.
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Itzel Fer, MD PM&R
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PS. Check the LLM’s email, you'll get it later this week 📫 (it will be short).
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