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

    Leveraging the Power of Artificial Intelligence to Transform Healthcare

    AI, Machine Learning, Healthcare, Transform  

    Leveraging the Power of Artificial Intelligence to Transform Healthcare

    By

    Apac CIOOutlook | Thursday, January 01, 1970

    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.

    The penetration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) is creating a buzz in the healthcare community. The usage of these disruptive technologies in healthcare promises a major transformation in terms of bringing a greater level of optimization and efficiency, reducing malpractices, ensuring better robot-assisted surgical precision, and improving the diagnostic systems to help detect serious diseases earlier. Having realized this, innovators in the technology space are looking for ways to integrate the power of AI into healthcare systems.

    Further, deep learning is also being implemented to tackle challenges around imaging diagnostics such as radiology. As the nature of the data extracted from imaging diagnostics is mostly unstructured, aggregating such data to gain meaningful insights remains a major challenge. However, deep learning has immense potential to assist doctors to deliver better healthcare while eliminating the repetitive work. In addition, AI-enabled computing will help the healthcare service providers in performing non-core operations, such as managing patient screening, identifying population health trends, among others. 

    The objective of machine learning is to automate the health monitoring and diagnostics and make the patients, rather consumers, less dependent on medical staff, thereby saving them from incurring additional cost, particularly for multiple health check-ups. As an example, Apple Smart Watch’s heart rate monitoring technology collects data and alerts an individual—suffering from Atrial Fibrillation—in case of irregular heartbeat.

    With the capabilities of AI, ML, and deep learning, the health professionals can tailor the medicinal composition based on genetics or DNA and medical history of the patient. Furthermore, the Electronic Health Records (EHR) will be automated, eliminating the administrative work of the staff involved in creating and maintaining EHR—and instead, they will be able to focus on their core jobs.

    Above all, the industry as a whole is likely to integrate the power of AI and deep learning to solve most of the medical challenges, such as enhancing precision in critical surgeries. Other benefits of this integration will allow for a more doctor-patient time during the consultation and lessen patient visits to healthcare centers with the help of AI systems and Robotics. 

    More in News

    Impact of Digital Transformation on Retail

    Impact of Digital Transformation on Retail

    AI's Role in Apac's Digital Transformation Journey

    AI's Role in Apac's Digital Transformation Journey

    Salesforce Services in APAC: Empowering Digital Transformation Across the Region

    Salesforce Services in APAC: Empowering Digital Transformation Across the Region

    Enhancing Customer Satisfaction through Omni-Channel Payments

    Enhancing Customer Satisfaction through Omni-Channel Payments

    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/leveraging-the-power-of-artificial-intelligence-to-transform-healthcare-nwid-5242.html