They create an AI pen that can detect Parkinson's disease.

A pen with magnetic ink and whose data is analyzed by artificial intelligence (AI) It can be used to detect Parkinson's disease in its early stages. , suggests a study published in Nature Chemical Engineering .

The device, tested on a group of 16 individuals, accurately recorded handwriting signals, which were analyzed by a neural network , an AI method that uses a network of interconnected nodes to learn and distinguish between complex patterns.

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The pen successfully distinguished Parkinson's patients with an average accuracy of 96.22% , according to a study led by the University of California, United States.

Parkinson's disease is estimated to affect almost 10 million of people in the world and their diagnosis in a fast, accessible and effective way is crucial to improve patient outcomes, but achieving this goal remains a challenge .

Since the symptoms of the disease include tremors, the diagnosis is usually based on observing the patient's motor skills, but It is a method that lacks objective standards and usually depends on the clinician's bias. .

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Pen data analysis can identify differences in the handwriting of people with and without the disease and could potentially allow for earlier diagnoses.

Hand movements during writing can be classified into two types: air movements, in which the pen moves between strokes without contact with the surface, and surface movements, in which it comes into contact with the writing surface and experiences pressure, forming primary strokes.

The device, which enables " efficient and scalable production through 3D printing ," could represent a low-cost, accurate, and widely distributable technology with the potential to improve disease diagnosis in large populations and in resource-limited areas, the study indicates.

The authors note that the tool should be expanded to larger patient samples and that its potential to track the progression of Parkinson's disease stages could be explored.

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