AI Tool to Predict Gait Freezing in Parkinson’s Patients

AI Tool to Predict Gait Freezing in Parkinson’s Patients

Mumbai doctors at Jaslok Hospital are currently developing a pioneering diagnostic tool. This software focuses on Parkinson’s gait freezing prediction for newly diagnosed individuals. Consequently, clinicians can identify those at high risk of developing disabling mobility symptoms early. Furthermore, the initiative seeks to improve the quality of life for thousands of patients across India. For those interested in managing complex neurological conditions, exploring specialized neurology training can provide essential clinical insights.

Managing Mobility via Machine Learning

Freezing of gait (FOG) affects nearly 80% of patients with advanced Parkinson’s disease. It creates a distressing sensation where the feet feel glued to the floor. Consequently, this symptom often leads to sudden falls, injuries, and a total loss of independence. However, the new AI system uses routine mobile phone videos to detect subtle gait changes. Therefore, patients no longer require expensive gait analysers that cost up to Rs 1 crore. Additionally, this low-cost approach makes advanced diagnostics accessible to a broader population.

Advancing Parkinson’s gait freezing prediction

The study involves a significant collaboration with the Paris Brain Institute in France. Specifically, researchers will analyze historical data from over 750 patients using machine learning algorithms. Moreover, the team will monitor 35 specific points of gait and body balance during the three-year project. Since the tool is open-access and low-cost, it will likely improve treatment planning across India. Therefore, doctors can intervene earlier to reduce disability and social isolation in Parkinson’s patients. Practitioners looking to formalize their expertise in this field may consider a Postgraduate Diploma in Neurology to stay at the forefront of clinical care.

Frequently Asked Questions

Q1: How does the AI tool analyze gait freezing?

The tool uses computer vision and machine learning to analyze videos of patients walking, which can be recorded on a standard mobile phone.

Q2: Who is leading the Parkinson’s research at Jaslok Hospital?

Senior neurosurgeon Dr. Paresh Doshi is leading the study in collaboration with the Paris Brain Institute in France.

Q3: When will the AI tool be ready for clinical use?

The development and prospective testing phases are expected to take approximately two years to complete.

References

1. Docs developing AI tool to predict gait freezing in Parkinson’s patients – ETHealthworld
2. Jaslok Hospital Launches AI Study to Predict Parkinson’s Freezing of Gait Using Simple Walking Videos – IndiaMedToday
3. Personalized prediction system for early prediction of freezing of gait in Parkinson’s disease using explainable AI – Royal Society Publishing

Disclaimer: This article was automatically generated from publicly available sources and is provided for informational and educational purposes only. OC Academy does not exercise editorial control or claim authorship over this content. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider and refer to current local and national clinical guidelines.