APAC CIOOutlook

Advertise

with us

  • Technologies
      • Artificial Intelligence
      • Big Data
      • Blockchain
      • Cloud
      • Digital Transformation
      • Internet of Things
      • Low Code No Code
      • MarTech
      • Mobile Application
      • Security
      • Software Testing
      • Wireless
  • Industries
      • E-Commerce
      • Education
      • Logistics
      • Retail
      • Supply Chain
      • Travel and Hospitality
  • Platforms
      • Microsoft
      • Salesforce
      • SAP
  • Solutions
      • Business Intelligence
      • Cognitive
      • Contact Center
      • CRM
      • Cyber Security
      • Data Center
      • Gamification
      • Procurement
      • Smart City
      • Workflow
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Artificial Intelligence

    Big Data

    Blockchain

    Cloud

    Digital Transformation

    Internet of Things

    Low Code No Code

    MarTech

    Mobile Application

    Security

    Software Testing

    Wireless

  • E-Commerce

    Education

    Logistics

    Retail

    Supply Chain

    Travel and Hospitality

  • Microsoft

    Salesforce

    SAP

  • Business Intelligence

    Cognitive

    Contact Center

    CRM

    Cyber Security

    Data Center

    Gamification

    Procurement

    Smart City

    Workflow

Menu
    • Cyber Security
    • Hotel Management
    • Workflow
    • E-Commerce
    • Business Intelligence
    • MORE
    #

    Apac CIOOutlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    The Advancements of AI in Healthcare

    Healthcare providers are using standardized data sources in AI algorithms to assist radiologists in detecting tumors and other anomalies quickly and accurately.  

    The Advancements of AI in Healthcare

    By

    Apac CIOOutlook | Thursday, June 27, 2019

    Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

    Healthcare providers are using standardized data sources in AI algorithms to assist radiologists in detecting tumors and other anomalies quickly and accurately.

    FREMONT, CA: It has been many years since artificial intelligence (AI) made its way into healthcare. However, its development has been slow in clinical areas when compared to the non-clinical sector.  For instance, AI has witnessed more successful deployments in medicine development than in healthcare service.

    AI has shown great potential in predicting patient deterioration. The recent advancements in AI have spurred healthcare providers and pharmaceutical organizations to deploy the technology and enhance their operations. The investments have yielded significant cost cuts and improved outcomes. Owing to the rise in AI adoptions, the U.S. Food and Drug Administration has introduced new regulatory frameworks for AI in healthcare. According to healthcare experts, the utilization of AI during patient care and patient data analysis has not witnessed much progress when compared to other sectors.

    Check Out: Top Healthcare Technology Companies in APAC

    AI algorithms have enabled organizations to perform sophisticated analytical functions. Machine learning (ML) technology is being used to detect anomalies by comparing medical images with a broader database. In the case of radiology, AI systems can screen hundreds and thousands of images in the same time frame a radiologist takes to assess tens of the same files.

    The steady increase in demand has spurred new players to enter the market with their unique medical image analysis algorithms. The AI systems can assist the radiologists in detecting tumors and other anomalies quickly and accurately. Since the data sources used to train AI algorithms are standardized, the technology is more widely adopted in radiology. 

    EHR-embedded virtual assistants are being incorporated into healthcare services to assess patient health records and deliver relevant information to the user. Another emerging technology being leveraged in healthcare is chatbots. It utilizes natural language processing (NLP) to assist healthcare providers in answering patient queries.

    A nascent AI technology is also in development, which is designed to predict health issues such as migraines, epilepsy, depression, and so on by evaluating the symptoms. The systems will utilize forecasting models to identify the patients most likely to commit suicide, thus enabling the healthcare providers to design relevant courses of treatment.

    See Also:

    Top AI Powered Solution Companies

    More in News

    AI's Role in Apac's Digital Transformation Journey

    AI's Role in Apac's Digital Transformation Journey

    Role of Blockchain in Fostering a Trust-Based Economy

    Role of Blockchain in Fostering a Trust-Based Economy

    Revolutionizing Healthcare Through 5G Technology

    Revolutionizing Healthcare Through 5G Technology

    The Journey Towards Smart City Development

    The Journey Towards Smart City Development

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Copyright © 2025 APAC CIOOutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    Home |  CXO Insights |   Whitepapers |   Subscribe |   Conferences |   Sitemaps |   About us |   Advertise with us |   Editorial Policy |   Feedback Policy |  

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://www.apacciooutlook.com/news/the-advancements-of-ai-in-healthcare-nwid-6535.html