DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Mobile Imaging
SEARCH
Current Location:
>
> This Story


Log in or Register to rate this News Story
Forward Printable StoryPrint Comment

 

 

Health IT Homepage

The promise of AI (part 2 of 2) Dr. Luciano Prevedello shares insight he’s gained through the AI lab his radiology department created

Elsevier touts new study validating use of STATdx solution Reduced diagnostic errors by as much as 37 percent

Hospitals harness technology to achieve patient satisfaction Meeting a diverse range of patient expectations

Apple Watch can monitor heart rhythms with FDA approval Detects atrial fibrillation and can tell if you've taken a sudden fall

Dr. David Hirschorn on NYMIIS 2018 Imaging informatics takes center stage again at the New York symposium

Healthcare players aim to advance value-based care with HL7 resources Utilizing HL7 FHIR in two initial test cases

Anatomy of a hospital cybersecurity attack Tips for detecting, responding to, and preventing attacks at your facility

What does mobile tech mean for radiology? A discussion with William Pan, CEO of EBM Technologies

ScImage, Cardiac Imaging forge partnership Bringing 'anywhere, real-time' access to cardiology images

Patient iP and Clinerion enhance access to real world data for clinical trials Improving the selection of trial sites, accelerate enrollment

Already used for cancer

Machine learning algorithm may predict early-stage Alzheimer's disease

by Lauren Dubinsky , Senior Reporter
A new machine learning program created by a team at Case Western Reserve University has the potential to diagnose Alzheimer’s disease before symptoms appear.

There is currently no cure for the disease, but several drugs have been shown to delay or prevent symptoms from worsening for up to five years or more, according to the National Institute on Aging and published research.

Story Continues Below Advertisement

THE (LEADER) IN MEDICAL IMAGING TECHNOLOGY SINCE 1982. SALES-SERVICE-REPAIR

Special-Pricing Available on Medical Displays, Patient Monitors, Recorders, Printers, Media, Ultrasound Machines, and Cameras.This includes Top Brands such as SONY, BARCO, NDS, NEC, LG, EDAN, EIZO, ELO, FSN, PANASONIC, MITSUBISHI, OLYMPUS, & WIDE.



The program integrates different indicators of Alzheimer’s, such as mild cognitive impairment, that can be a precursor for the disease. In two consecutive stages, the program’s algorithm chooses the most relevant indicator to predict who has Alzheimer’s.

The Cascaded Multi-view Canonical Correlation (CaMCCo) algorithm integrates measurements from MR scans, features of the hippocampus, glucose metabolism rates in the brain, proteomics, genomics, MCI and other parameters.

The university has proved that integrating unrelated information is useful for identifying cancers, but this is the first time they used the same approach for diagnosing and characterizing Alzheimer’s.

Machine learning algorithms are being used to detect other conditions as well. In May, the University of Pennsylvania found that machine learning could help with the early detection of severe sepsis and Zebra Medical Vision developed an algorithm last year that can predict cardiovascular events.

The program then evaluated the variables in a two-stage process. It selects the parameters that best differentiate a healthy patient from one who isn’t, and then selects the unhealthy variables that best distinguish who has MCI and who has Alzheimer’s.

The team tested it using data from 149 patients that were obtained through the Alzheimer’s Disease Neuroimaging Initiative. For predicting which patients had Alzheimer’s, CaMCCo outperformed individual indicators as well as methods that combine them without selective assessment.

They are continuing to improve and validate the approach using data from multiple sites. They also have plans to use it in an observational mode in which the computer runs the data while a neurologist compiles tests on patients.

If the program proves to be useful for predicting early-stage Alzheimer’s, the team hopes to conduct a clinical trial for prospective validation.

Health IT Homepage


You Must Be Logged In To Post A Comment

Advertise
Increase Your
Brand Awareness
Auctions + Private Sales
Get The
Best Price
Buy Equipment/Parts
Find The
Lowest Price
Daily News
Read The
Latest News
Directory
Browse All
DOTmed Users
Ethics on DOTmed
View Our
Ethics Program
Gold Parts Vendor Program
Receive PH
Requests
Gold Service Dealer Program
Receive RFP/PS
Requests
Healthcare Providers
See all
HCP Tools
Jobs/Training
Find/Fill
A Job
Parts Hunter +EasyPay
Get Parts
Quotes
Recently Certified
View Recently
Certified Users
Recently Rated
View Recently
Certified Users
Rental Central
Rent Equipment
For Less
Sell Equipment/Parts
Get The
Most Money
Service Technicians Forum
Find Help
And Advice
Simple RFP
Get Equipment
Quotes
Virtual Trade Show
Find Service
For Equipment
Access and use of this site is subject to the terms and conditions of our LEGAL NOTICE & PRIVACY NOTICE
Property of and Proprietary to DOTmed.com, Inc. Copyright ©2001-2018 DOTmed.com, Inc.
ALL RIGHTS RESERVED