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

 

 

Artificial Intelligence 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

What are the limits of AI in radiology? What Highlights magazine can teach us about AI: Insights from NYMIIS

AI algorithm spots abnormal chest X-rays with 90 percent accuracy Qure.ai's qXR algorithm was 'tuned' on 1.2 million scans

Scientists create synthetic MR images to train AI algorithms A way around training on rare abnormalities and patient privacy issues

Philips new MR dramatically cuts helium requirement and needs no vent pipe The Ingenia Ambition X 1.5T MR features a fully-sealed magnet

China's Infervision brings AI tech to 200th hospital Now in use with approx. 20,000 lung cancer screening scans daily

New augmented reality tools offer surgical guidance in war-torn areas Connects experienced clinicians with inexperienced ones in the field

NIMH pledges $3.8 million to functional MR study Analyzes brain activation patterns with AI and fMRI

Vyasa joins NVIDIA Inception program Deep learning software company taps into AI development group

New AI system detects hard-to-see tiny tumors on lung CT scans Teaches itself how to locate tiny tumors

A China-based AI system proved to be
more accurate in detecting brain cancer
and hematomas than human physicians

AI wins against human diagnosis of brain tumors and hematomas

by John R. Fischer , Staff Reporter
The potential for machine learning-based diagnoses continues to gain wider acceptance worldwide with its latest accomplishment revolving around the diagnosis of brain cancer and internal bleeding.

The BioMind AI System, designed by Beijing Tiantan Hospital and Capital Medical University, went two for two in late June, in a competition among groups of physicians to accurately predict the presence of brain tumors and hematoma expansion.

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.



"I hope through this competition, doctors can experience the power of artificial intelligence,” Wang Yongjun, executive vice president of the Beijing Tiantan Hospital, said in a statement. “This is especially so for some doctors who are skeptical about artificial intelligence.”

Though impressed by the capabilities presented by AI and machine learning, many physicians have expressed fears that such technology will grow in their potential to a point where it eventually replaces human doctors.

Trained on tens of thousands of images of nervous system-related diseases archived by the hospital over the past 10 years, the BioMind AI System is capable of predicting common neurological conditions such as meningioma and gliomas with a 90 percent accuracy rate comparable to that of a senior doctor.

In predicting the presence of brain tumors, the solution was 87 percent accuracy rate in its assessment of 225 cases, completing its determinations in 15 minutes. A team of 15 senior physicians, in comparison, was 66 percent accurate.

The system was then used to assess cases of brain hematoma expansion, correctly diagnosing its presence with 83 percent accuracy compared to 63 percent obtained by a group of physicians from renowned hospitals throughout China.

Outcomes made by the human physicians were considered normal and better than the average accuracy of those at ordinary hospitals.

Yongjun says the results of the competition fall in line with its main objective to serve as a learning experience for clinicians regarding their interaction with technology, and further support the adoption of AI, not as a replacement, but as an assistant.

“I hope they can further understand AI and eliminate their fears toward it,” he said.

Adoption of AI is slated to provide value to medical imaging in a variety of areas including scheduling and administration; patient management; pre-scanning; in-scanning; post-scanning; and predictive analytics.

All cases assessed in the competition were real and contributed by Beijing Tiantan Hospital, but were not used as training material for the solution.

The system was developed jointly by the hospital’s Artificial Intelligence Research Centre for Neurological Disorders and a research team from Capital Medical University.

Artificial Intelligence 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