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

 

 

More Technology Advisor

Digital health intelligence finds the patient Innovation across the globe becomes increasingly mobile, digital, personal and accessible

Technology Advisor - Health advocate avatar A 'knowledge interface' to mediate between individuals and the world of medical information

Health care C-suite’s guide to artificial intelligence Questions and costs associated with disruptive new technology

Technology Advisor - Robotics in health care A look at applications where medical robots promise to change care

Technology Advisor - The virtual health assistant Focusing on one of four ways in which artificial intelligence is disrupting medicine

See All Technology Advisor  

Health IT Homepage

IBM Watson Health tackles EMR challenges at RSNA Showcased new product and upgrade in current technology

IBM Watson Health unveils breast advisors solution at RSNA Uses imaging analytics

Philips acquires VitalHealth for an undisclosed amount Adds to its population health management portfolio

Experts discuss cybersecurity threats and tips at RSNA Ransomware revenue has increased from $24 million to $1 billion in one year

Philips acquires Forcare Aims to increase interoperability among hospitals and health systems

At RSNA, HIMSS expert shares tips to prevent cyber attacks Annual cybersecurity awareness training is not enough

Philips unveils IQon Elite Spectral CT system and IntelliSpace Portal 10 platform at RSNA Capturing data, then bringing it to life (or printing it)

With AI avalanche, computing company NVIDIA makes first appearance at RSNA How gaming and self-driving cars paved a road to health care

Konica Minolta showcases new technologies at RSNA A look at several innovative solutions poised to enter the market

As Google makes its RSNA debut, companies and providers talk up big data partnerships Silicon Valley meets medical imaging

AI transforming data into health intelligence

By Bipin Thomas
From the October 2017 issue of DOTmed HealthCare Business News magazine

In my previous columns, I introduced the transformational power of artificial intelligence (AI) technologies in the health care industry.

AI’s transformative potential comes from its ability to interrogate, parse and analyze vast amounts of data. From this information, AI systems can find patterns and links that would have previously required great levels of expertise or time from clinicians. For this reason, AI is particularly useful in providing diagnostics, creating personalized treatment plans and even helping physicians keep up to date with the latest medical research.

Story Continues Below Advertisement

Putting Your Enterprise Imaging Strategy in Place:

8 Tips for Selecting the Right Transformation Partner. As the healthcare industry moves toward a more personalized, value-based care model, choosing the right solution partner to obtain a truly transformational enterprise imaging strategy is paramount.



AI technologies such as machine learning and deep learning are poised to have a big impact in health care. One of the underlying issues is whether the data is ready for AI. Electronic health records, consumer medical devices and genomics are excellent data sources to begin with. It can be further strengthened with insurance claims, imaging and clinical research data. There is also the potential to mine massive amounts of online data to deliver intriguing results. The real opportunity of this data is not the patients who are already sick. It helps identify those who are currently not touching the system. AI is helping uncover the invisible patients based on that additional data set.

Delivering early and actionable intelligence
The treatment and prevention of rare and dangerous diseases often depends on detecting the symptoms at the right time. In many cases, early diagnosis can result in a complete cure. AI algorithms can quickly ingest millions of samples in short order and glean useful patterns. And unlike humans, they don’t lose their edge when they grow old. Several institutions and firms are investing in this scheme in developing health care solutions.

Researchers at Stanford University have created an AI algorithm that can identify skin cancer. They trained their deep learning algorithm with 130,000 images of moles, rashes and lesions. According to the results, its efficiency in diagnosing skin cancer rivals that of professional doctors. The researchers hope to make it available through a mobile app some time in the near future. This can be an opportunity to provide inexpensive screening to anyone with a smartphone.

Google is using machine learning to fight blindness in collaboration with the NHS. Researchers are training a deep learning algorithm with a million anonymous eye scans. This will help spot eye conditions such as wet age-related macular degeneration and diabetic retinopathy at early stages. According to the experts, in some cases, they might eventually be able to prevent 98 percent of the most severe visual loss.
  Pages: 1 - 2 >>

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 ©2001-2017 DOTmed.com, Inc.
ALL RIGHTS RESERVED