Artificial Intelligence

An artificial intelligence system that detects Alzheimer's with 90% accuracy

An artificial intelligence system that detects Alzheimer's with 90% accuracy

According to a study by Global Burden of Disease, it is estimated that by the year 2050 adults with dementia will exceed 150 million people, and this new artificial intelligence system could revolutionize the detection of Alzheimer's disease.

While it is true, technology has offered many innovations to detect such a disease, including rapid screening tests based on DNA biomarkers to algorithms that detect previous brain changes. This new deep learning model, developed at Massachusetts General Hospital, was able to identify Alzheimer's with a greater than 90% accuracy rate.

To train this deep learning model, the team used images from brain scans of more than 10,000 people, both with and without Alzheimer's disease. The system then contrasted the model with real clinical data from diagnoses of the neurodegenerative disease. The deep learning model was able to identify Alzheimer's with an accuracy rate of 90.2%, which is approximately more than 5% compared to simpler AI models that did not employ deep learning.

"This is one of the only studies that used routinely collected brain MRI scans to try to detect dementia," commented Matthew Leming, a researcher at Massachusetts General Hospital and lead author of the study.

Achieving a diagnosis with the highest rate of accuracy is the goal of all studies developed to date, according to a 2017 study of more than 900 people revealed that as many as one in four Alzheimer's patients had been misdiagnosed, due to certain symptoms, patients may be diagnosed with other disorders such as frontotemporal dementia, so Alzheimer's progresses dramatically or they are medicated with inadequate treatments.

During 2022, it was determined that artificial intelligence systems technology is promising in fields such as cancer, diabetes, and Alzheimer's diagnosis, so this new system could be of great help to improve the quality of life of diagnosed patients.

You can learn more about this system at the following links:

11 de Abril, 2023



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