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How AI And Machine Learning Will Impact The Future Of Healthcare

Bernard Marr

Our modern healthcare system is currently facing huge challenges exacerbated by the pandemic, a rise in lifestyle-related diseases, and an exploding world population. The good news is that using AI to create intelligent processes and workflows could make healthcare cheaper, more effective, more personalized, and more equitable.

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XRDC Interviews AR and VR Industry Experts in Healthcare Report

ARPost

The XRDC AR/VR Healthcare Report is out now and is a must-read. Healthcare affects everyone. The report covers the latest advancements in AR and VR with interviews from 5 leaders using this tech in healthcare. The Healthcare Industry, VR, and AR. See Also: Virtual and Augmented Reality Healthcare Apps and Experiences.

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This ‘Intelligent Carpet’ Lets You Tiptoe Through VR

VRScout

The Seamless Walk system ditches wearable hardware in favor of pressure sensors and machine learning technology. This information is then fed into a machine learning model that’s able to estimate the angle of your body as well as your general movement speed and translate the data into realistic virtual movements.

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The Top 5 Healthcare Trends In 2023

Bernard Marr

The world is a very different place than it was ten years ago, and nowhere is this more evident than in healthcare. Here’s my overview of what I believe will be the most important trends of the next 12 months: Artificial Intelligence in Healthcare. Remote Healthcare - Virtual Hospitals, Healthcare Communities, and Telehealth.

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Study Shows How VR Could Help Diagnose ADHD

VRScout

A group of researchers based out of Aalto University, Åbo Akademi Universit, and the University of Helsinki has developed a VR game that can supposedly help diagnose attention-deficit hyperactivity disorder (ADHD) in children. ADHD currently affects roughly six percent of the world’s children.

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The Crucial Difference Between AI And AGI

Bernard Marr

Artificial Intelligence (AI) is a transformative force that is reshaping industries from healthcare to finance today. These systems do not learn from past experiences; they merely execute commands within a fixed operational framework. Machine Learning, a dynamic subset of AI, includes systems designed to learn and adapt from data.

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Building Responsible AI: How To Combat Bias And Promote Equity

Bernard Marr

Bias often occurs in data when it is collected in a non-representative way – for example, by failing to ensure that there is an adequate balance between genders, age groups or ethnic groups in the sample. Tools like AI Fairness 360 and Google’s What-If can be used to examine and measure the behavior of machine learning algorithms.

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