We left more time at the end to do the Jelly fish and the epidermis, dermis and fascia (or EDF) techniques. The participants took the time as those techniques needed lots of focus and concentration.
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| Doing the jellyfish taping |
We left more time at the end to do the Jelly fish and the epidermis, dermis and fascia (or EDF) techniques. The participants took the time as those techniques needed lots of focus and concentration.
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| Doing the jellyfish taping |
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| With Dr Sangita and Sarah |
Some of the techniques include the Space Correction webcut applications for bruising and swelling. We will also do the EDF (epidermis, dermis and fascia) and jellyfish taping.
None of the brands of tape has any of those mentioned above.
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| Picture from Orthopaedia.com |
This is how she described her foot pain. She said there was a burning, aching pain at the bottom of her foot and on the inner heel. She said it almost feels like an electric shock. Her pain gets a lot worse after prolonged standing and sometimes wakes her up at night. She also gets numbness in her toes.
None of those symptoms sound like plantar fascia pain to me. Patients with plantar fasciitis usually have pain during the first few steps when they get out of bed in the morning. There is rarely numbness, burning or electric shock sensations in the toes.
Upon assessment, there was no pain on the posterior calcaneal tubercle (where the PF inserts) nor along the plantar fascia itself.
I elicited her pain when I did a modified Straight Leg Raise test by holding her foot in full dorsiflexion and eversion. However, there was no tingling or zinging in the foot when I tap on the medial malleolus (over the tarsal tunnel) - also known as Tinel's test. Online articles often describe a positive Tinel's test.
I explained my findings to her. My patient actually has Tarsal Tunnel Syndrome. This is when the posterior tibial nerve gets 'trapped' and irritated in the tarsal tunnel at the inner part of the foot (pictured below).
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| Picture from Teachmeanatomy |
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| Tom, Dick and Harry- back of R leg |
Online or AI* searches always say that flat feet or severe overpronation can cause tarsal tunnel pain as it can stretch the nerve although my patient does NOT have flat feet.
My patient did have a severe right ankle sprain a few months ago that caused swelling and perhaps thickening in the connective tissue in the tunnel that eventually caused this. It was also not treated properly, causing her to compensate and stand and walk differently possibly 'tractioning' her posterior tibial nerve.
A ganglion cyst in the canal may also cause this since it reduces the space in the tunnel. I have never come across this though in the 27 years of being a physiotherapist.
When a patient complains of bottom of foot pain, plantar fasciitis is usually the diagnosis one thinks of. The symptoms of tarsal tunnel syndrome pain can be similar to lumbar radiculopathy, diabetic and peripheral neuropathy or plantar fasciitis. Hopefully this article will correct that.
(*All the articles in this blog are written by me not by AI).
Reference
Boers N, Haverkamp M, Eligh AM et al (2026). Differences in Diagnosing Tarsal Tunnel Syndrome Across The Literature: A Systematic Review And A Call For Standardization. JBJS Rev. 14(2): e25.00222. DOI: 10.2106/JBJS.RVW.25.00222
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| L flexor retinaculum |
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| Picture from Bikatadventures.com |
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| Picture from Prodirectsport |
No running study has studied whether carbon plated shoes (known as advanced footwear technology or AFT) changes running biomechanics associated with bone stress injuries (BSI), or shin splints. The researchers goals were to measure running biomechanics while running in an AFT shoe.
23 runners (11 women, 12 men) with an average age of 25.4 ± 2.7 years were recruited for the study. They ran randomly in 3 different types of running shoes, neutral, lightweight (responsive foam) and AFT at 3 self selected running speeds. A run at their 'training effort', a tempo run and at 5 km race pace.
Biomechanical variables associated with BSI such as cadence, vertical ground reaction forces, ankle and rearfoot eversion forces were measured during each run and shoe condition.
Results show that with neutral running shoes, ankle plantarflexion moment was higher compared to lightweight foam and AFT. There was less rearfoot eversion movement in the neutral shoe compared to lightweight foam and AFT.
Cadence was lower while running in AFT shoes compared to neutral or lightweight foam shoes. This is relevant since a longer running stride has been linked (in earlier studies) to BSI in the lower limbs.
Rearfoot eversion velocity (the speed at which your foot rolls down and inwards), or pronation was higher in the lightweight foam shoe compared with both neutral and AFT shoes. There was no significant difference in this between the neutral and AFT shoe.
The authors concluded that there were increases in several biomechanical variables associated with BSI while running in AFT shoes. Although these changes were small, they tend to accumulate and can contribute to increased forces on bones in the lower limbs.
The authors suggest that rotating running shoes and gradually using AFT to adapt to the differences may help reduce potential injury risk while optimizing running performance.
Reference
Bruneau MM, Gaudette LW, Sirls E et al (2026). Biomechanics Associated Withe Bone Stress Injuries While Using Advanced Footwear Technology In Elite Distance Runners. PM & R. 18(2): S143-150. DOI: 10.1002/pmrj.70153
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| Picture from Sixminutemile.com |
Faulkner said she coded to build the AI technology that can learn from data, spot patterns and make decisions. These are skills that we usually associate with human intelligence.
AI is already in our everyday lives. We get Google Maps directing our commute, Spotify suggesting songs on your playlist and hit ChatGPT with any question we might have.
Many people use AI for everyday health, exercise and medical queries. Are these AI driven chatbots reliable and accurate? Our patients already use AI to self diagnose their pain and injuries. Some studies show chatbots are largely accurate, while others reported frequent errors and even a risk for transmitting inaccurate information.
The following research investigated 5 popular AI driven chatbots to evaluate their responses to everyday health and medical queries across 5 categories: cancer, vacines, stem cells, nutrition and athletic performance. Both open ended and closed ended questions were used.
Gemini, Meta AI, DeepSeek, ChatGPT and Grok were the 5 chatbots used. They were each presented with 50 prompts across the 5 topics mentioned above. The researchers used an adversarial framework to strain models towards misinformation or contraindicated advice.
An adversarial framework refers to a system, process or analytical model structured around opposition, competition or conflict. This is a cybersecurity approach used to test the vulnerabilities of AI systems.
Responses were then independently rated by 2 domain experts as non-problematic, somewhat problematic or highly problematic. Citations were assessed for authenticity and completeness while readability evaluated using the Flesch Reading Ease score (100 point scale with higher scores being easier to read).
Results showed that nearly half of ALL responses (49.6 percent) were problematic, 30 percent somewhat and 19.6 percent highly problematic. Nutrition and athletic performance topics had the weakest performance and Grok generated significantly more highly problematic responses than expected.Reference quality was poor across all chatbots. The median completeness score was 40 percent. No chatbot came up with a fully accurate reference list. Misleading, unreliable or fabricated citations were common. So please be careful if you use them.
All the 5 chatbots produced responses that were rated "difficult" on the Flesch Reading Ease scale, equivalent to university-level reading. Chatbots answered consistently with confidence regardless of accuracy, while rarely declined to respond (2 refusals to answer across 250 total responses).
The researchers concluded that continued deployment of AI chatbots without public education and regulatory oversight risk amplifying health misinformation. Especially in the field of nutrition and athletic performance. They also suggested that public education, professional training and regulatory oversight to ensure that generative AI support rather than replace professionals.
My suggestion when searching for health information is to treat these AI chatbots with a good amount of skepticisim and to verify information with qualified professionals or peer-reviewed sources. There will be some benefit seeking ideas and initial information from a chatbot, but beyond that you will need a real human expert.
Reference
Tikker NB, Marcon AR, Zenone M et al (2026). Generative Artifical Intelligence-Driven Chatbots And Medical Misinformation: An Accuracy, Referencing And Readability Audit. BMJ Open. 16(4): e112695. DOI: 10.1136/bmjopen-2025-112695.