Thursday, April 15, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry

March 6, 2021
in Machine Learning
Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter


Revolution by Artificial Intelligence, Machine Learning and Deep Learning in the healthcare industry | Photo Credits: Pixabay&nbsp

You might also like

AI.Reverie names Aayush Prakash as Head of Machine Learning

Three Privacy Preserving Machine Learning Techniques Solving This Decade’s Most Important Issue

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

New Delhi: Medical science has come a long way from what it was back in the 80s and 90s. With the new era and technology, the healthcare industry is at its best times and with the growing demand is an unstoppable industry to look forward to. Read on to know what is really building on!

The population ageing, changing patient expectations, a shift in lifestyle choices, and the never-ending cycle of innovation are a few of the implications of an ageing population. As per the joint report with the European Union’s EIT Health, by 2050, one in four people in Europe and North America will be over the age of 65—this means the health systems will have to deal with more patients with complex needs. Managing such patients is expensive and requires systems to shift from an episodic care-based philosophy to one that is much more proactive and focused on long-term care management. What will come as an aid to the industry are artificial intelligence (AI), machine learning (ML) and deep learning (DL) as they will help revolutionize healthcare and address some of the major challenges.

So, what is AI? It is the capability of a computer program to perform tasks or reasoning processes that we usually associate with intelligence in a human being. AI can lead to better care outcomes and improve the productivity and efficiency of care delivery. It can also improve the day-to-day life of healthcare practitioners, letting them spend more time looking after patients and in so doing, raise staff morale and improve retention. It can even get life-saving treatments to market faster. Artificial Intelligence in Healthcare is expected to grow from $2.1 billion to $36.1 billion by 2025, displaying a CAGR of 50.2% over the span.

What really is ML? ML is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence. Machine learning (AI) has indeed played a key role in many areas of health care, including the development of new medical procedures, the handling of patient data and records, and the treatment of chronic diseases. It is understood that hospitals, clinics, and other healthcare organizations around the globe are gradually beginning to recognize the need for digitization and integration within administrative processes. In recent years, scientists and scholars have joined the field of cancer diagnosis and treatment. One future approach is combining cognitive computation with genomic tumour sequencing. This uses machine learning to build diagnostics and clinical therapies. For example, The da Vinci robot helps surgeons to conduct procedures at a level of precision. These robotic hands are more precise and reliable than human hands. Computer vision and machine learning are used to classify the body parts of humans.

Moving to DL, here is what it really means and how it is helping the healthcare industry. Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. When it comes to healthcare, in a recent book published by Dr Eric Topol entitled ‘Deep Medicine’, the cardiologist and geneticist emphasize how deep learning in healthcare could ‘restore the care in healthcare. Aidoc, for example, has developed algorithms that expedite patient diagnosis and treatment within the radiology profession. The company has received several accreditations and approvals from the Food and Drug Administration, the European Union CE and the Therapeutic Goods of Australia (TGA) for its specialized algorithms. These algorithms include intracranial haemorrhage, pulmonary embolism and cervical-spine fracture and allow for the system to prioritize those patients that are in most need of medical care. This targeted form of AI and deep learning helps the overburdened radiologist by flagging items that are of concern and thereby allows the healthcare professional to direct patients with greater control and efficiency. It also reduces admin by integrating into workflows and improving access to relevant patient information.

AI is now top-of-mind for healthcare decision-makers, governments, investors and innovators, and the European Union itself. An increasing number of governments have set out aspirations for AI in healthcare, in countries as diverse as Finland, Germany, the United Kingdom, Israel, China, and the United States and many are investing heavily in AI-related research. The private sector continues to play a significant role, with venture capital (VC) funding for the top 50 firms in healthcare-related AI reaching $8.5 billion, and big tech firms, startups, pharmaceutical and medical-devices firms and health insurers, all engaging with the nascent AI healthcare ecosystem.

We are in the very early days of our understanding of AI and its full potential in healthcare, in particular with regards to the impact of AI on personalization. Nevertheless, interviewees and survey respondents conclude that over time we could expect to see three phases of scaling AI in healthcare, looking at solutions already available and the pipeline of ideas.


Credit: Google News

Previous Post

Deploy AI models -Part 3 using Flask and Json | by RAVI SHEKHAR TIWARI | Feb, 2021

Next Post

$100 in crypto for a kilo of gold: Scammer pleads guilty to investor fraud

Related Posts

AI.Reverie names Aayush Prakash as Head of Machine Learning
Machine Learning

AI.Reverie names Aayush Prakash as Head of Machine Learning

April 15, 2021
Three Privacy Preserving Machine Learning Techniques Solving This Decade’s Most Important Issue
Machine Learning

Three Privacy Preserving Machine Learning Techniques Solving This Decade’s Most Important Issue

April 15, 2021
Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization
Machine Learning

Sailthru Announces Machine Learning Features for Improved Lifecycle Optimization

April 14, 2021
Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier
Machine Learning

Global Machine Learning Market In-Depth Qualitative Insights & Future Growth Analysis 2021-2027 – The Courier

April 14, 2021
Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News
Machine Learning

Seminar on Machine Learning Techniques in Banking – India Education| Global Education |Education News

April 14, 2021
Next Post
$100 in crypto for a kilo of gold: Scammer pleads guilty to investor fraud

$100 in crypto for a kilo of gold: Scammer pleads guilty to investor fraud

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

AI.Reverie names Aayush Prakash as Head of Machine Learning
Machine Learning

AI.Reverie names Aayush Prakash as Head of Machine Learning

April 15, 2021
Why Corporate AI Projects Fail? Part 2/4 | by Sundeep Teki, PhD | Apr, 2021
Neural Networks

Why Corporate AI Projects Fail? Part 2/4 | by Sundeep Teki, PhD | Apr, 2021

April 15, 2021
How to Analyze Influencer Campaign Performance
Marketing Technology

How to Analyze Influencer Campaign Performance

April 15, 2021
Six courses to build your technology skills in 2021 – IBM Developer
Technology Companies

How AI helps Overwatch League process 410M data points to build power rankings – IBM Developer

April 15, 2021
ExpressVPN review: A fine VPN service, but is it worth the price?
Internet Security

ExpressVPN review: A fine VPN service, but is it worth the price?

April 15, 2021
New WhatsApp Bugs Could’ve Let Attackers Hack Your Phone Remotely
Internet Privacy

New WhatsApp Bugs Could’ve Let Attackers Hack Your Phone Remotely

April 15, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • AI.Reverie names Aayush Prakash as Head of Machine Learning April 15, 2021
  • Why Corporate AI Projects Fail? Part 2/4 | by Sundeep Teki, PhD | Apr, 2021 April 15, 2021
  • How to Analyze Influencer Campaign Performance April 15, 2021
  • How AI helps Overwatch League process 410M data points to build power rankings – IBM Developer April 15, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates