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Hans India
a day ago
- Health
- Hans India
This new AI tool can detect 9 types of dementia from single brain scan
New Delhi: In a significant achievement for identifying neurodegenerative diseases early, a team of US researchers has developed a new artificial intelligence (AI) tool that helps clinicians detect brain activity patterns linked to nine types of dementia using a single and widely available scan. The tool, StateViewer, not only helped in early detection but also provided accurate diagnosis -- it identified the dementia type in 88 per cent of cases, including Alzheimer's disease. It also enabled clinicians to interpret brain scans nearly twice as fast and with up to three times greater accuracy than standard workflows, according to the research, published online in the journal Neurology. Researchers from the Mayo Clinic trained and tested the AI on more than 3,600 scans, including images from patients with dementia and people without cognitive impairment. Currently, diagnosing dementia requires cognitive tests, blood draws, imaging, and clinical interviews, and yet, distinguishing conditions such as Alzheimer's, Lewy body dementia and frontotemporal dementia remains a challenge. 'Every patient who walks into my clinic carries a unique story shaped by the brain's complexity,' said David Jones, a Mayo Clinic neurologist. 'StateViewer reflects that commitment -- a step toward earlier understanding, more precise treatment, and, one day, changing the course of these diseases,' added Jones, director of the Mayo Clinic Neurology Artificial Intelligence Programme. The tool analyses a fluorodeoxyglucose positron emission tomography (FDG-PET) scan, which shows how the brain uses glucose for energy. It then compares the scan to a large database of scans from people with confirmed dementia diagnoses and identifies patterns that match specific types, or combinations, of dementia. While Alzheimer's affects memory and processing regions, Lewy body dementia involves areas tied to attention and movement. Frontotemporal dementia alters regions responsible for language and behaviour. StateViewer displays these patterns through colour-coded brain maps that highlight key areas of brain activity, giving all clinicians, even those without neurology training, a visual explanation of what the AI sees and how it supports the diagnosis. Dementia affects more than 55 million people worldwide, with nearly 10 million new cases each year. Alzheimer's disease, the most common form, is now the fifth-leading cause of death globally.
The Star
14-07-2025
- Health
- The Star
One scan to identify nine types of dementia
Imagine being able to scan the brain and identify nine types of dementia, including Alzheimer's disease. This AI tool could be tremendously helpful, especially in hospitals that lack neurologists. — TNS A new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, using a single, widely-available scan, has been developed by researchers in the United States. The tool, StateViewer, helped identify the dementia type in 88% of cases, according to a study published online on June 27 (2025) in Neurology , the medical journal of the American Academy of Neurology. It also enabled clinicians to interpret brain scans nearly twice as fast and with up to three times greater accuracy than standard workflows. The researchers from Mayo Clinic trained and tested the AI on more than 3,600 scans, including images from patients with dementia and people without cognitive impairment. This innovation addresses a core challenge in dementia care: identifying the disease early and precisely, even when multiple conditions are present. As new treatments emerge, timely diagnosis helps match patients with the most appropriate care when it can have the greatest impact. The tool could bring advanced diagnostic support to clinics that lack neurology expertise. Dementia affects more than 55 million people worldwide, with nearly 10 million new cases each year. Alzheimer's disease – the most common form – is now the fifth-leading cause of death globally. Diagnosing dementia typically requires cognitive tests, blood draws, imaging, clinical interviews and specialist referrals. Even with extensive testing, distinguishing conditions such as Alzheimer's, Lewy body dementia and frontotemporal dementia remains challenging, including for highly experienced specialists. 'Every patient who walks into my clinic carries a unique story shaped by the brain's complexity,' says Mayo Clinic Neurology Artificial Intelligence Program director and neurologist Dr David Jones, who directed the development of the tool. 'That complexity drew me to neurology and continues to drive my commitment to clearer answers. 'StateViewer reflects that commitment – a step toward earlier understanding, more precise treatment, and one day, changing the course of these diseases.' To bring that vision to life, he worked alongside data scientist Dr Leland Barnard, who leads the AI engineering behind StateViewer. 'As we were designing StateViewer, we never lost sight of the fact that behind every data point and brain scan was a person facing a difficult diagnosis and urgent questions,' Dr Barnard says. 'Seeing how this tool could assist physicians with real-time, precise insights and guidance highlights the potential of machine learning for clinical medicine.' The tool analyses a fluorodeoxyglucose positron emission tomography (FDG-PET) scan, which shows how the brain uses glucose for energy. ALSO READ: Using radiotracers and PET scans to diagnose dementia It then compares the scan to a large database of scans from people with confirmed dementia diagnoses and identifies patterns that match specific types, or combinations, of dementia. Alzheimer's typically affects memory and processing regions, Lewy body dementia involves areas tied to attention and movement, and frontotemporal dementia alters regions responsible for language and behaviour. ALSO READ: What is frontotemporal dementia? Bruce Willis' condition explained The AI tool displays these patterns through colour-coded brain maps that highlight key areas of brain activity, giving all clinicians, even those without neurology training, a visual explanation of what the AI sees and how it supports the diagnosis. The researchers plan to expand the tool's use and will continue evaluating its performance in a variety of clinical settings. – Mayo Clinic News Network/Tribune News Service
Miami Herald
02-07-2025
- Health
- Miami Herald
Mayo Clinic's AI tool identifies 9 dementia types, including Alzheimer's, with one scan
ROCHESTER, Minn. - Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single, widely available scan - a transformative advance in early, accurate diagnosis. The tool, StateViewer, helped researchers identify the dementia type in 88% of cases, according to research published online on June 27, 2025, in Neurology, the medical journal of the American Academy of Neurology. It also enabled clinicians to interpret brain scans nearly twice as fast and with up to three times greater accuracy than standard workflows. Researchers trained and tested the AI on more than 3,600 scans, including images from patients with dementia and people without cognitive impairment. This innovation addresses a core challenge in dementia care: identifying the disease early and precisely, even when multiple conditions are present. As new treatments emerge, timely diagnosis helps match patients with the most appropriate care when it can have the greatest impact. The tool could bring advanced diagnostic support to clinics that lack neurology expertise. The rising toll of dementia Dementia affects more than 55 million people worldwide, with nearly 10 million new cases each year. Alzheimer's disease, the most common form, is now the fifth-leading cause of death globally. Diagnosing dementia typically requires cognitive tests, blood draws, imaging, clinical interviews and specialist referrals. Even with extensive testing, distinguishing conditions such as Alzheimer's, Lewy body dementia and frontotemporal dementia remains challenging, including for highly experienced specialists. StateViewer was developed under the direction of David Jones, M.D., a Mayo Clinic neurologist and director of the Mayo Clinic Neurology Artificial Intelligence Program. 'Every patient who walks into my clinic carries a unique story shaped by the brain's complexity,' Dr. Jones says. 'That complexity drew me to neurology and continues to drive my commitment to clearer answers. StateViewer reflects that commitment - a step toward earlier understanding, more precise treatment and, one day, changing the course of these diseases.' To bring that vision to life, Dr. Jones worked alongside Leland Barnard, Ph.D., a data scientist who leads the AI engineering behind StateViewer. 'As we were designing StateViewer, we never lost sight of the fact that behind every data point and brain scan was a person facing a difficult diagnosis and urgent questions,' Dr. Barnard says. 'Seeing how this tool could assist physicians with real-time, precise insights and guidance highlights the potential of machine learning for clinical medicine.' Turning brain patterns into clinical insight The tool analyzes a fluorodeoxyglucose positron emission tomography (FDG-PET) scan, which shows how the brain uses glucose for energy. It then compares the scan to a large database of scans from people with confirmed dementia diagnoses and identifies patterns that match specific types, or combinations, of dementia. Alzheimer's typically affects memory and processing regions, Lewy body dementia involves areas tied to attention and movement, and frontotemporal dementia alters regions responsible for language and behavior. StateViewer displays these patterns through color-coded brain maps that highlight key areas of brain activity, giving all clinicians, even those without neurology training, a visual explanation of what the AI sees and how it supports the diagnosis. Mayo Clinic researchers plan to expand the tool's use and will continue evaluating its performance in a variety of clinical settings. Copyright (C) 2025, Tribune Content Agency, LLC. Portions copyrighted by the respective providers.
