Clean Sweep Live Auction on Wed. February 27th. 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
Current Location:
> This Story

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




More IT Matters

How AI can change radiology practice for the better A conversation with NYU Langone’s Dr. Michael Recht

Bringing a ‘hive mind’ approach to AI in radiology How Stanford Medical University and Unanimous AI are partnering to bring the human element to AI

IT Matters: Optimizing radiation therapy plans with AI Using automation to expedite cancer treatment planning

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

Imaging informatics and the clinical informatics umbrella A discussion with University of Cincinnati's Dr. Alexander Towbin

See All IT Matters  

More Voices

Q&A with Dr. Daniel Mitchell Behind the scenes at Rutland Regional in Vermont with the medical director of Diagnostic Imaging

My observations from the HIMSS meeting The Jacobus Report

Making the invisible visible: The future of AI in imaging Insights from Steve Tolle, vice president of global strategy and business development for IBM Watson Health

Q&A with Christopher Ross, chairman of HIMSS Discussing his background and some of the hot topics that will dominate conversation at the premier event in health IT

Honoring the life of George Hryshchuk Advanced Ultrasound Electronics remembers its director of sales

State Of The Union and healthcare The Jacobus Report

Blockchain in healthcare Q&A with Dr. John Halamka Demystifying the potential of distributed digital ledgers to improve data management in healthcare

Bringing augmented reality into clinical practice Ian Watts, developer of ProjectDR, talks about AR's potential impact in healthcare

Dr. Luciano Prevedello

The promise of AI (part one)

by Sean Ruck , Contributing Editor
From the August 2018 issue of DOTmed HealthCare Business News magazine

Dr. Luciano Prevedello, a radiologist at the Ohio State University Wexner Medical Center (OSUWMC) and chief of the division of medical imaging informatics, appreciates the potential he sees for artificial intelligence in healthcare. He’s well-versed in the evolution of the technology, and over the last three years, he has had the opportunity to more deeply explore the strengths and weaknesses of deep learning applications. Recognizing the importance of the field, under the leadership of Dr. Richard White, chair of Radiology, the department has decided to expand activities in this area and create a lab dedicated to developing and studying AI applications in medical imaging.

In this first part of HealthCare Business News’ conversation with Dr. Prevedello, we’re taking a look at AI’s past, present and future in healthcare, as well as some of the challenges and benefits it faces in the realm of medical imaging.

Story Continues Below Advertisement

Has exclusive distribution agreement with DDD to sell new Camera systems

UMRi provides the very best new & refurbished gamma cameras, quality parts &repair services. We also rebuild & replace camera detectors, move camera systems across town or across the country. Call us at 888-239-3510

Although there’s a lot of buzz about developments in AI, and Prevedello shares the excitement, there are some things he sees differently. For one, while it’s a developing story, it’s also an old story. “My view is probably different than some people,” he explained. “A lot of people refer to AI as a futuristic thing, but AI is already happening and has been here for quite some time. AI in the form of machine learning has already been used in many applications in medical imaging.”

For Prevedello, what is different now is that recent developments in machine learning, and more specifically, deep learning, will enable more complex analyses and will broaden the scope of artificial intelligence applications in Medical Imaging. These new techniques can be applied not only to medical images but also to free text clinical reports. While some degree of automation was possible with traditional machine learning tools, they required extensive customization making development very resource intensive. “It was nearly impossible to apply the exact same algorithm to different clinical scenarios”, he explains. Recent techniques are much more generalizable. For example, the same deep learning algorithm can be trained to recognize pneumonia on a chest x-ray or intracranial hemorrhage on a CT of the head. “In the near future, we will start seeing the introduction of new algorithms doing much more sophisticated things. These advancements will not be necessarily readily apparent to us. Sometimes, it just looks as though the applications have become “smarter”. It’s similar to what we’ve seen for the web search industry. In the beginning it was simpler, string-based matching and there were some rule-based algorithms that could connect us to websites. And then Google introduced a different way of dealing with the web, with a lot more sophistication and machine learning behind the scenes,” Prevedello said.
  Pages: 1 - 2 >>


You Must Be Logged In To Post A Comment

Increase Your
Brand Awareness
Auctions + Private Sales
Get The
Best Price
Buy Equipment/Parts
Find The
Lowest Price
Daily News
Read The
Latest News
Browse All
DOTmed Users
Ethics on DOTmed
View Our
Ethics Program
Gold Parts Vendor Program
Receive PH
Gold Service Dealer Program
Receive RFP/PS
Healthcare Providers
See all
HCP Tools
A Job
Parts Hunter +EasyPay
Get Parts
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
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 ©2001-2019 DOTmed.com, Inc.