CIOAdvisor Apac

  • Home
  • Vendors
  • News
  • Conference
  • Whitepapers
  • Newsletter
  • Subscribe
  • About Us
  • Specials

  • Menu
      • Ad Management
      • Application Security Testing
      • Artificial Intelligence
      • BPO
      • Contact Center
      • Data Analytics
      • Deep Learning
      • Digital Marketing
      • Digital Transformation
      • Disaster Recovery Services
      • Disinfection and Sanitization
      • E-Invoicing
      • Ecommerce
      • Govt Tech
      • HubSpot
      • Human Resource
      • ICT
      • IoT
      • Laser and Photonics
      • Leadership Development
      • Logistics
      • Machine Learning
      • Marketing Technology
      • Mobile Application
      • Parking Management
      • Payment And Card
      • SDN
      • Telecom
  • Digital Transformation
  • Logistics
  • IoT
  • Payment And Card
  • Artificial Intelligence
Specials
  • Specials

  • Ad Management
  • Application Security Testing
  • Artificial Intelligence
  • BPO
  • Contact Center
  • Data Analytics
  • Deep Learning
  • Digital Marketing
  • Digital Transformation
  • Disaster Recovery Services
  • Disinfection and Sanitization
  • E-Invoicing
  • Ecommerce
  • Govt Tech
  • HubSpot
  • Human Resource
  • ICT
  • IoT
  • Laser and Photonics
  • Leadership Development
  • Logistics
  • Machine Learning
  • Marketing Technology
  • Mobile Application
  • Parking Management
  • Payment And Card
  • SDN
  • Telecom
×
#

CIO Advisor APAC Weekly Brief

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

Subscribe

loading
  • Home
  • News
Editor's Pick (1 - 4 of 8)
left
When Science Fiction Becomes Science Fact: An Industry Embracing Monumental Change

Stephen Barnham, SVP & CIO, MetLife Asia

Responsible Principles for and Beyond AI

Guan Wang, Senior Data Scientist and Vice President, Group Data Services, Swiss Re Asia Pte. Ltd

Ready or not, here it comes: A new approach to kickstarting data science innovation

Richard Ramsden, Head of Data Science - Innovation Incubator, AkzoNobeland Barry Hodgson, Director of Strategy, National Innovation Centre for Data

From Prediction to Foreseeing and Shaping the Future: The Required Evolutions in Machine Learnin

Sunando Das, CMI Director, Predictive Marketing and Retail Analytics, Unilever

Closing the Gap with Innovation

Haymans Fung, Chief Marketing and Digital Officer, Sun Life Hong Kong

The Future is Now for Artificial Intelligence

Prithesh Prabhu, Head of Automation and Change, National Australia Bank

How Recent Advancement in AI Has Been Impacting Businesses

Agustinus Nalwan, Head of AI and Machine Learning, carsales

Behind the Disruption of Open Source Technology

Guan Wang, Analytics Specialist, Digital and Smart Analytics, Swiss Re [SWX: SREN]

right

THANK YOU FOR SUBSCRIBING

Machine Learning in Healthcare: How is it Reforming the Indsutry?

CIOAdvisor Apac | Thursday, July 08, 2021
Tweet

Machine learning algorithms can quickly evaluate a large number of medical pictures and be carefully trained to recognize minutiae in CT scans and MRIs.

FREMONT, CA: Many breakthroughs have occurred in the healthcare industry, but machine learning is one such advancement that has improved the industry's performance. Machine learning has come a long way, but the best machine learning tool is a doctor's brain in the healthcare industry. Many doctors are concerned that artificial intelligence will take over the healthcare business.

Machine learning should be utilized to supplement patient care and as a tool for clinicians to improve clinical outcomes. Machine learning will never fully replace doctors because, even if it were to achieve supremacy, patients would always require the human touch and care of a doctor.

Role of Machine Learning in Healthcare

Medical Imaging Diagnosis

Medical imaging diagnostic is a procedure or technology that visually depicts tissue or internal organ parts to track health, diagnose disorders, and treat them. It also aids in the creation of an anatomy and physiology database. Using medical imaging techniques such as ultrasound and MRI, surgical operations can be avoided. Machine learning algorithms can quickly evaluate a large number of medical pictures and be carefully trained to recognize minutiae in CT scans and MRIs. A system developed by a deep learning team from the United States, France, and Germany can diagnose skin cancer more precisely than a dermatologist.

Robotic Surgery

Since its inception in 1980, the use of robotics in healthcare has grown at a rapid pace. Many people are still skeptical of robots performing surgery, but in the not-too-distant future, they will be routinely utilized in surgeries. In hospitals, robotics is utilized to monitor patients and warn nurses when human interaction is required. The robotic helper can detect the blood vessel and draw blood with the patient experiencing less pain and worry. In pharmaceutical labs, robots also prepare and deliver drugs. Robotic carts are used to transport medical supplies at large facilities. Speaking of robots replacing humans, this will not happen anytime soon; robotics can only aid doctors, not replace them.

Identifying Disease and Diagnosis

Machine learning models that predict illness or early diagnosis of sickness and illness are already being developed by scientists. One UK-based technology business is developing artificial intelligence algorithms for the precise identification of complex respiratory disorders. The computer science and artificial intelligence lab at one leading research university has developed a novel deep learning-based prediction model that can forecast breast cancer development up to five years in advance.

tag

Pharmaceutical

Featured Vendors

  • MVI Technologies: Innovative, Future-proof Financial and Payment Switching
    MVI Technologies: Innovative, Future-proof Financial and Payment Switching
  • DATAMARK: Process Driven Solutions in Action
    DATAMARK: Process Driven Solutions in Action
  • IMACREA: Shaping the Future of Teleworking
    IMACREA: Shaping the Future of Teleworking
  • PuzzleBox BPO, Inc.: A Hybrid Platform for Customer Support and Sales Empowerment
    PuzzleBox BPO, Inc.: A Hybrid Platform for Customer Support and Sales Empowerment
ON THE DECK

Read Also

Safeguarding Quality through Proactive Risk Management

Cultivating a Culture of Agility: Nurturing Adaptability for Organizational Success

Governance for Smarter KPIs: Enhancing Performance Measurement

Embracing the Irreplaceable Human in Business and Beyond

Leveraging Gamification for Deeper Financial Engagement

Generative AI: The Game-Changer Automates Marketing For The Retail Industry

Loading...

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 CIO Advisorapac. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy |  Sitemap

follow on linkedinfollow on twitter
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.cioadvisorapac.com/news/machine-learning-in-healthcare-how-is-it-reforming-the-indsutry-nwid-2597.html