Neuproscan

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Neuproscan is an innovative AI tool for the early detection of pre-clinical Alzheimer's using MRI technology, designed to improve diagnosis accuracy and support proactive healthcare decisions.

Neuproscan Image

How Neuproscan can help you:

Improves the accuracy of MRI-based Alzheimer's diagnosis, reducing false positives and negatives.
Makes early detection of Alzheimer's possible, enabling timely interventions.
Facilitates more efficient use of healthcare resources by reducing unnecessary PET scans.
Allows patients and families to plan for the future with more certainty.
Enables participation in clinical trials for new treatments and therapies.

Why choose Neuproscan: Key features

Utilizes advanced AI algorithms for early detection of Alzheimer's from MRI scans.
Offers a fully customizable platform suitable for both individual doctors and hospitals.
Capability to run on device or in the cloud, providing flexibility in operation.
Supports the creation of custom AI models to meet specific diagnostic needs.
Efficiently selects relevant slices from MRI scans for improved diagnostic precision.

Who should choose Neuproscan:

Healthcare professionals looking for advanced diagnostic tools for Alzheimer's.
Medical institutions seeking cost-effective alternatives to PET scans for Alzheimer's detection.
Researchers and clinicians focused on early Alzheimer's intervention strategies.
Families wanting early diagnosis for loved ones showing potential Alzheimer's symptoms.

About Neuproscan

Website

https://neuproscan.com

Release Date

November 2023

Pricing

Contact for Pricing

Related fields

Categories

Health, Screening and diagnosis

Related News

AI Breakthrough in Early Alzheimer's Diagnosis Achieves Greater Predictive Accuracy

Artificial Intelligence was able to detect specific speech signals that indicate a potential advance towards Alzheimer's. Researchers have made a significant breakthrough in the early diagnosis of Alzheimer's disease -- using artificial intelligence. The researchers at Boston University developed an advanced AI algorithm capable of analyzing speech patterns in individuals with mild cognitive impairment (MCI) to predict the progression to Alzheimer's disease, according to a new study. Published in the journal Alzheimer & Dementia, the study demonstrates the algorithm's impressive accuracy of 78.5 percent over a six-year period. "We wanted to predict what would happen in the next six years -- and we found we can reasonably make that prediction with relatively good confidence and accuracy," Ioannis Paschalidis, director of the BU Rafik B. Hariri Institute for Computing and Computational Science & Engineering, said in the study. "It shows the power of AI." The research involved 166 participants aged between 63 and 97 years. Using state-of-the-art machine learning techniques, the AI was able to detect specific speech signals that indicate a potential advance towards Alzheimer's. The model also incorporated demographic factors such as age and sex, enhancing its predictive precision. Early detection of Alzheimer's is vital for timely intervention with treatments that can decelerate disease progression. Although a definitive cure remains elusive, existing therapies can alleviate symptoms and improve patients' quality of life. The new AI algorithm's ability to detect Alzheimer's in its nascent stages represents a crucial step forward for early intervention and proactive disease management. "We hope, as everyone does, that there will be more and more Alzheimer's treatments made available," Mr. Paschalidis said. "If you can predict what will happen, you have more of an opportunity and time window to intervene with drugs, and at least try to maintain the stability of the condition and prevent the transition to more severe forms of dementia."

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Tue, 9 Jul, 10:03 AM UTC

AI Model Revolutionizes Dementia Diagnosis with High Accuracy Across Multiple Data Sources

Researchers have developed a groundbreaking AI model that can accurately diagnose dementia using data from multiple sources, including brain scans, genetic profiles, and clinical records. The model shows great promise in improving early detection and personalized treatment of dementia.

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Mon, 8 Jul, 4:02 PM UTC

AI Breakthrough: Outperforming Clinical Tests in Alzheimer's Prediction

A groundbreaking artificial intelligence model has demonstrated superior performance in predicting Alzheimer's disease progression compared to traditional clinical tests. This development could revolutionize early diagnosis and treatment of dementia.

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AI Revolutionizes Alzheimer's Detection and Dementia Research

Recent advancements in artificial intelligence are transforming the landscape of Alzheimer's detection and dementia research. Studies show AI outperforming standard care in predicting disease progression, while European universities leverage AI to combat dementia.

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AI-Enhanced EEG Analysis Revolutionizes Early Dementia Detection

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