AI-driven device by PGI set to transform neuropathic pain diagnosis in India

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AI-driven device by PGI set to transform neuropathic pain diagnosis in India

PGI has developed a groundbreaking AI-powered device aimed at revolutionizing the diagnosis of neuropathic pain, particularly for conditions like diabetic neuropathy and sciatica. This innovative Quantitative Sensory Testing (QST) device, which has received an Indian patent, is designed to make advanced healthcare more accessible by significantly lowering diagnostic costs. Previously, traditional QST systems were prohibitively expensive, costing between Rs 40 and Rs 50 lakh, but this new device is expected to be priced at just Rs 2 lakh.

The device integrates artificial intelligence and machine learning to streamline the diagnostic process, allowing even minimally trained healthcare workers to use it effectively. Unlike traditional methods that require lengthy analysis, this AI-driven device provides results in just 20-30 minutes, assessing multiple parameters such as temperature and pressure. This advancement not only facilitates early detection of neuropathic pain but also enables personalized treatment plans, potentially preventing irreversible nerve damage.

• AI-powered device reduces neuropathic pain diagnosis costs significantly.

• New QST device delivers results in 20-30 minutes using AI technology.

Key AI Terms Mentioned in this Article

Artificial Intelligence

Artificial intelligence is utilized in the device to enhance diagnostic accuracy and efficiency.

Machine Learning

Machine learning algorithms are integrated into the device to simplify the diagnostic process.

Quantitative Sensory Testing (QST)

QST is a method used to assess nerve damage, now made affordable through AI technology.

Companies Mentioned in this Article

PGI

PGI is at the forefront of developing innovative medical technologies, including the new AI-driven QST device.

Center of Innovation and Biodesign

This center supported the project, providing initial patent funding and ongoing research support.

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