• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

AI Weekly: Announcing our ‘AI and the future of health care’ special issue

January 30, 2021   Big Data
 AI Weekly: Announcing our ‘AI and the future of health care’ special issue

How open banking is driving huge innovation

Learn how fintechs and forward-thinking FIs are accelerating personalized financial products through data-rich APIs.

Register Now


Artificial intelligence and health care both deal heavily with issues of complexity, efficacy, and societal impact. All of that is multiplied when the two intersect. As health care providers and vendors work to use AI and data to improve patient care, health outcomes, medical research, and more, they face what are now standard AI challenges. Data is difficult and messy. Machine learning models struggle with bias and accuracy. And ethical challenges abound. But there’s a heightened need to solve these problems when they’re couched within the daily life-and-death context of health care.

Then, in the midst of the AI’s growth in health care, the pandemic hit, challenging old ways of doing things and pushing systems to their breaking points. In our upcoming special issue, “AI and the future of health care,” we examine how providers and vendors are tackling the challenges of this extraordinary time.

The biggest hurdle has to do with data. Health care produces massive amounts of data, from electronic health records (EHR) to imaging to information on hospital bed capacity. There’s enormous promise in using that data to create AI models that can improve care and even help cure diseases, but there are barriers to that progress. Privacy concerns top the list, but worldwide health care data also needs standardization. There are still too many errors in this data, and the medical community must address persisting biases before they become even more entrenched.

When humans rely on AI to help them make clinical decisions like injury or disease diagnoses, they also have to be aware of their own biases. Because bias exists in the data AI models are built upon, practitioners have to be careful not to fall into the trap of automation bias, relying too much on model output to make decisions. It’s a delicate balance with profound impacts on human health and life.

The pandemic has also challenged the practical day-to-day functions of health care systems. As COVID-19 cases threaten to overwhelm hospitals and patients and doctors risk infection during in-person visits, providers are figuring out how to deliver patient care remotely. With more doctors shifting to telemedicine, chatbots and other tools are helping relieve some of the burden and allowing patients to access care from the safety of their own homes.

For particularly vulnerable populations, like senior citizens, remote care may be necessary, especially if they’re in locked-down residential facilities or can’t easily get to their doctor. The technologies involved in monitoring such patients include wearables that track vitals and even special wireless tech that offers no-touch, personalized biometric tracking.

These are sea changes in health care, and because of the pandemic, they’re coming faster than anyone expected. But a certain optimism persists — a sense that despite unprecedented challenges to the medical field, careful and responsible use of AI can enable permanent, positive changes in the health care system. The astonishing speed with which researchers developed a working COVID-19 vaccine offers ample evidence of the way necessity spurs medical innovation. The best of the technologies, tools, and techniques that health care providers are employing now could soon become standard and lead to more democratized, less expensive, and overall better health care.

You can get this special issue delivered straight to your inbox next week by signing up here.

VentureBeat

VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact.

Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:

  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform
  • networking features, and more

Become a member

Let’s block ads! (Why?)

Big Data – VentureBeat

AI’, Announcing, care, future, Health, Issue, Special, Weekly
  • Recent Posts

    • Dapper Duo
    • AI Weekly: These researchers are improving AI’s ability to understand different accents
    • Why Choose RapidMiner for Your Data Science & Machine Learning Software?
    • How to Use CRM Integration to Your Advantage – Real World Examples
    • WATCH: ‘Coming 2 America’ Movie Review Available On Amazon Prime & Amazon
  • Categories

  • Archives

    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited