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

IMAGE Information Systems releases iQ VIEW PRO 3.1 Can identify relevant priors in 1-2 seconds in PACS of more than one million studies

Change Healthcare unveils InterQual 2018 Supports decision-making by providing updated and enhanced clinical criteria

Three ways providers can improve patient satisfaction with online forms Tips for simplifying a historically tedious process

MRI Interventions and Voyager Therapeutics partner on Parkinson's therapy Bringing real-time MR guidance to minimally-invasive neurosurgical devices

Cerner head suggests negative reports about DoD contract may be 'fake news' Suggests competitors may have played role in bad publicity

Boston Children's Hospital quickens medical image processing in RedHat and MOC collab Decreases time it takes to diagnose and commence treatment

NextGen Enterprise EHR now a live implementer of Carequality Framework Creating a more interoperable healthcare system

What you need to know about the latest Philips, Silex and GE hack vulnerabilities Homeland Security announces new cyber alerts with familiar calling cards

How diverse technology can drive improvements in population health Interacting with patients in low cost settings

Q&A with Dr. James Whitfill, incoming chair of SIIM The imaging informatics expert on the upcoming meeting and the ongoing convergence of imaging and IT

Ibex's Second Read System

First AI pathology diagnostic system up and running in clinical setting

by John R. Fischer , Staff Reporter
The first AI-based pathology diagnostic system is up and running in a live clinical setting to assist in the confirmation of prostate cancer.

The Institute of Pathology at Maccabi Healthcare Services in Israel has deployed Ibex Medical Analytics’ Second Read (SR) System to identify various cell types and features within whole slide images of prostate core needle biopsies (PCNBs), including grading cancerous glands and other clinically significant features. Its use follows a pilot period in which it identified isolated major errors in retrospective PCNBs that were previously diagnosed as benign by pathologists.

Story Continues Below Advertisement

The (#1 Resource) for Medical Imaging and Peripherals. Call 1-949-273-8000

As a Master Distributor for major brands Barco, Philips, and Sony, we offer custom imaging solutions. With our renowned OEM Solutions and Service/Repair Center, Ampronix is a one-stop shop for HD Medical LCD Displays--Printers--Recorders--4K Cameras



“Prostate cancer diagnosis is labor intensive,” Joseph Mossel, co-founder and CEO of Ibex, the strategic partner of Maccabi, told HCB News. “It requires reviewing a large number of biopsy slides with potential for a human pathologist to miss relatively small cancer foci. Furthermore, there is potential for more mundane human error such as missing a slide within a case, typing errors and so forth. These risks have become more pronounced in recent years with an ever-increasing workload and a global shortage of pathologists.”

The SR system analyzes the entire case and alerts users to discrepancies found with the original diagnosis.

Following its deployment, the solution utilized AI and machine learning techniques to identify a suspicious PCNB that was diagnosed earlier in the day as benign by a pathologist at the institute, which handles approximately 700 PCNBs out of 160,000 histology accessions annually.

Staff re-examined the PCNB and confirmed the presence of low-grade prostate cancer, demonstrating the higher efficiency and accuracy of the platform.

System training is derived from thousands of image samples of hundreds of PCNBs in multiple institutes. Digital images used for this initiative were produced by The Maccabi Pathology Institute’s Philips IntelliSite Pathology solution.

Training is currently limited to the prostate with the potential to teach the system how to diagnose other forms of cancer provided a large enough training set is available. This, however, could be a challenge for very rare types of cancer.

Mossel says, however, that the deployment of the system provides faster diagnoses and better management of population health in a cost-effective manner.

“The system allows for better management and improvement of population health while controlling for costs,” he said. “The deployment of AI-based tools for cancer diagnostics in pathology leads to faster diagnosis and associated treatment, increased efficiency, and increased accuracy.”

Ibex plans to expand the number of cancer types and clinical use cases the solution can address as part of its focus to make the SR system a commercially available product.

Availability of the platform is currently limited.

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