dismiss

Clean Sweep Live Auction on Wed. November 14th. over 3,100 items - Click to view the full inventory

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
advertisement

 

advertisement

 

Artificial Intelligence Homepage

AI to patient-centricity: Experts discuss top imaging trends As silos come down, what challenges emerge for radiologists?

Intelerad to advance InteleViewer platform with EnvoyAI technology suite Providing a 'broad list of algorithms' for rad exams

PaxeraHealth to develop new AI module for PACS system Captures and stores actions and behavior of radiologist

ACR DSI releases framework of AI use cases for medical imaging Guidelines for adoption of AI technology in medical imaging

FDA clears OpenSight AR System for HoloLens First augmented system for HoloLens, helps with preoperative surgical planning

NVIDIA, Scripps partner on AI for genomics, sensors Teaming up to establish a center focusing on new applications

RaySearch introduces machine learning in RayStation at ASTRO First machine learning applications on RayStation platform

Is AI a match for manual interpretation of breast density? Study equates algorithm to experienced mammographer

Surgeons can 'listen' to brain during tumor removal with new technique Can predict likely outcome of removing certain brain tissue

Philips to take on 19 AI enterprises in first global startup collaboration Focus on ideas for clinical and workflow solutions in AI

Study illustrated how artificial intelligence works best under direction of radiologists

by John W. Mitchell , Senior Correspondent
Physician clinical judgment matters when it comes to the use of artificial intelligence (AI) applications, according to a study just published in the Journal of the American College of Radiology.

Combining a radiologist’s opinion and various imaging parameters in an AI algorithm resulted in greater accuracy compared to working with the imaging parameters alone.

Story Continues Below Advertisement

RamSoft PowerServer™ RIS/PACS - Enabling Efficient Diagnostic Imaging

RamSoft's PowerServer™ RIS/PACS is an intuitive, single database application that enables healthcare practices to operate diagnostic imaging more efficiently than ever before.Why is this important? Click to find out.



“The way a radiologist looks at an image to provide interpretation is predominantly anatomical and to an extent, abstract [as it is a factor of] the radiologist's clinical experience and gut feeling,” Dr. Adarsh Ghosh, study author, Department of Radio-diagnosis and Imaging, AIIMS, New Delhi, India told HCB News.

The algorithm deals with image-derived parameters predominantly in a numerical fashion to provide interpretations. His findings, Ghosh explained, prove that the two very different AI and human approaches can be combined to yield greater accuracy and improved patient care.

In the study, he relied on breast imaging data sets from the University of California, Irvine Machine Learning Repository. Three machine learning algorithms were trained to provide cross-validation. The evaluation metrics that were used to compare the two cohorts – AI alone and radiologists/AI combined – included lesion shape, density, and patient demographics. Overall, radiologist oversight outperformed the stand-alone AI application.

“I wanted to address the notion that AI will replace radiologists,” said Ghosh. “The common hype of the radiologist being rendered redundant is unfounded. The radiologist and AI algorithms will work in tandem and, synergistically, may provide a diagnosis which will be closer to the truth.”

Ghosh noted that the study was a very simple design as he used the most basic AI algorithms available. AI algorithms, he explained, are versatile, allowing both continuous and categorical predictors. He believes the paper will set a benchmark for further AI research as radiologist-augmented AI workflow needs more evaluation - especially when it comes to deep learning algorithms.

“The key finding that will interest radiologists is that combining a radiologist's opinion and various image parameters in the AI algorithms obtained greater accuracy than the AI algorithms working on the image parameters alone,” he concluded.

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