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

NYU releases biggest ever MR data set in AI Facebook collaboration With fastMRI, acceleration of imaging by factor of four 'already possible'

Subtle Medical closes RSNA with CE mark and FDA clearance of PET AI solution Speeds up scans by factor of four, enhanced image quality

Infervision showcases new AI concepts at RSNA Detecting four different conditions on one chest scan

Canon debuts AI for image reconstruction and 1.5T MR at RSNA Advanced Intelligent Clear-IQ Engine and Vantage Orian

Where will AI make its first major market impact in radiology? Four radiology experts share their views at RSNA

Aidoc and ACR announce partnership for AI in imaging Establishing a registry to better understand AI in the clinical setting

NVIDIA announces AI partnerships with OSU, NIH Using Clara to deploy algorithms designed in-house

Arterys touts cloud-native platform and regulatory approval in 98 countries AI capabilities with 'unmatched' security

How will radiologists access AI? Integrating machine learning into existing business structure and radiologist workflow

Siemens previews new AI solutions to help radiologists and improve patient care Enhancing chest CT reads and clinical decision support

Dr. Vijay Rao at RSNA

RSNA president's keynote on 'our chosen, beloved field of radiology'

by John W. Mitchell , Senior Correspondent
The new president of RSNA paid tribute to imaging leaders who passed in the last year. She also used the occasion of her keynote speech to describe the AI imaging future through the eyes of a future radiologist who today is only a year old.

Dr. Vijay M. Rao, RSNA president, and chair, Department of Radiology at Jefferson Health, spoke proudly of the third generation of physicians in her children. She said that perhaps one of her five granddaughters – four of whom were in attendance – might also pursue a medical career. She speculated that if her one-year-old granddaughter should start her radiology training in 2043, she will be practicing a much different standard of medicine than the "dark ages" of imaging in 2018.

Story Continues Below Advertisement

New & Refurbished C-Arm Systems. Call 702.384.0085 Today!

KenQuest provides all major brands of surgical c-arms (new and refurbished) and carries a large inventory for purchase or rent. With over 20 years in the medical equipment business we can help you fulfill your equipment needs



“In 2043, radiologists will truly be at the epicenter of patient care,” Rao said. She attributed this prediction to AI, which will replace all the current methods of decision support for vastly improved efficiency and effectiveness. Her granddaughter, she predicted, would have more time because of AI.

For example, Rao believes AI will calculate laborious measurements to rapidly diagnose painful, emergent conditions, such as a stroke. AI will also monitor the report to mine similar findings and suggest a diagnosis. An AI assistant will retrieve medical information from outside the in-house medical record for auto retrieval. All this will drastically reinvent the role of the radiologist as a caregiver.

In short, imaging AI will, Rao said, achieve the long sought-after goal of merging a total patient medical profile through imaging. AI will compile such factors as current images, prior images, lab results, surgical or biopsy findings, history and physical exams, patient demographics, patient risk factors, and even patient genomics, for a holistic insight to the patient.

“[With AI], radiologists [will be] in the best position to provide informed answers to patients,” Rao said.

AI is not to be feared, she stressed, but embraced, as radiologists reinvent themselves. To prepare imaging for an AI future, Rao also informed the group of the roll-out of a new RSNA journal, Radiology: Artificial Intelligence.

Several recognitions were made to open the 2018 session. This included honoring the late William G. Bradley Jr., M.D., Ph.D., an imaging leader in the University of California medical system in San Francisco and San Diego, as well as Alexander R. Margulis, M.D., who escaped the Nazis in World War II to immigrate to America and eventually practice medicine. He was a renowned imaging educator, mentor, and author. Both families were on hand to receive a crystal commemorative bowl in recognition of their loved ones’ long imaging service and as a token of their colleagues’ esteem. David M. Yousem, M.D. received the Outstanding Educator Award and Carolyn C. Meltzer, M.D., FACR the Outstanding Researcher Award.

In her acceptance comments, Dr. Meltzer eloquently referred to the specialty as “our chosen, beloved field of radiology.”

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