Thursday, March 4, 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 Neural Networks

How AI Is Helping Methamphetamine Addicts Get Sober and Find Recovery

February 27, 2019
in Neural Networks
How AI Can Improve Product Safety – Becoming Human: Artificial Intelligence Magazine
587
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: BecomingHuman

Image courtesy: Pixabay

Artificial intelligence is one field of computer science that continues to grow and transcend what technology engineers thought could be achieved by machine learning. Although AI is still a relatively new field that continues to make advancements regularly, the technology has found a home in several industries, including business and healthcare. Mental health professionals have been using AI for years to help patients with mental illness get the advice and support they need.

You might also like

The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021

The Symbolic World: Raising A Turing’s Child Machine (1/2) | by Puttatida Mahapattanakul | Feb, 2021

The Ways in Which Big Data can Transform Talent Management and Human Resources | by Amelia Jackson | Feb, 2021

This is especially relevant today, in the face of rising levels of meth addiction. This rise is directly related to a much more frequently discussed issue in regards to the public health landscape: the opioid epidemic. The latter has led to 11.4 million people misusing prescription opioids and over 130 people dying every day from overdoses. Unfortunately, opioid use also increases meth use. Opioids can serve as a gateway drug: Over a third of all people using opioids also reported using methamphetamine. While the discussion of the opioid epidemic has entered public discourse, the problems of meth addiction are often neglected.

Trending AI Articles:

1. Predicting buying behavior using Machine Learning

2. Understanding and building Generative Adversarial Networks(GANs)

3. Learning from mistakes with Hindsight Experience Replay

4. How to Prevent Bias in Machine Learning

Methamphetamine addiction, like most other addictions, has been the source of ample scientific study by various health organizations. Using inferences from this data, along with information about the addict, apps are capable of predicting the risk of relapse and sending support. Being able to program an app with algorithms that can help it predict a person’s response to external stimuli seems advanced beyond our years. However, with the role big data is playing in using data to its utmost potential, the new uses for AI aren’t too surprising.

Methamphetamine Addiction Obstacles

Addiction is always an extremely difficult form of abuse to overcome, whether it is alcohol abuse or the abuse of another substance. However, trying to recover from heroin or methamphetamine addiction is a whole other world of pain. Long-term meth abuse leads to damage of the dopamine receptors in the brain, which causes addicts to be unable to feel pleasure, a condition known as anhedonia. Anhedonia makes it difficult for recovering addicts to feel stable, grounded, or hopeful, which can lead to relapse.

Addicts going through withdrawal often feel extremely ill, usually experiencing fever, sweats, nausea, and vomiting. Health professionals know exactly what a person in recovery experiences throughout the five stages of substance abuse recovery, and this knowledge is being used to offer recovering addicts the help they need to prevent relapse. By analyzing a person’s personality and feelings, the technology is able to predict relapse through a person’s words and behavior, and it could either send mindfulness exercises or alert a close friend to offer support.

According to the 2017 Global Drug Survey, methamphetamine is more dangerous than any other drug. On average, 4.8 percent of users required emergency medical attention after use. In the U.S., the percentage of users who seek medical attention is even higher, ranging from 6.1 to 8.3 percent. By deterring the possibility of relapse, AI could save thousands of recovering addicts from an emergency trip to the hospital, as well as the resulting medical debt.

How AI Is Helping

People suffering from meth addiction are eager to find alternatives to the standard 12-step recovery model that is practiced by those in Alcoholics Anonymous groups. Common criticisms of this recovery model are its religious nature, as well as what can seem like the glorification of drug use through the sharing of drug-use stories. For addicts in recovery, it’s important that their treatment plan is specific to their personality and needs because recovery is different for each person.

An app called Addicaid, created by recovering addict Sam Frons, explores the way AI can help individuals struggling with addiction by combining artificial intelligence with clinical research to predict when a person may be at risk for a relapse. The app also offers treatment suggestions, such as phone numbers for treatment lines and centers, and cognitive behavioral therapy options that can help curb the urge to relapse. These suggestions vary based on the information that the app has on the individual, which makes it more effective and personalized.

This data-driven approach to recovery uses machine learning, adaptive AI, and health research to specify treatment options based on the strategies that work for each person. These apps also offer to connect recovering addicts in order to help each other not feel so alone and hopeless by communicating with others that are going through similar struggles. Although the use of AI in the treatment of substance abuse is still relatively new, people are hopeful that it will have a positive impact.

Finding Recovery

AI helps use big data in practical applications by using machine learning to bridge the gap between data analytics and actually applying inferences from the stores of valuable information we create in our day-to-day lives. However, because we don’t have the capacity to think about everything all at once, analytics can help keep track of the important things for us.

Drug abuse affects millions of people each year — meth alone killed nearly 6,000 people in the United States in 2015. By using technology to help hold recovering addicts accountable, data experts, counselors, and app inventors hope to see more cases where apps like Addicaid help people avoid relapses. Meth is a dangerous drug, with severe health consequences and behavioral changes that pose a danger to the addict and the people around them. AI can use data to help these individuals adjust to recovery and leave it in the past.

Don’t forget to give us your 👏 !

Credit: BecomingHuman By: Noah Rue

Previous Post

Cryptocurrency wallet caught sending user passwords to Google's spellchecker

Next Post

NVIDIA BrandVoice: Reaping Success With Enterprise Machine Learning

Related Posts

The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021
Neural Networks

The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021

March 3, 2021
The Symbolic World: Raising A Turing’s Child Machine (1/2) | by Puttatida Mahapattanakul | Feb, 2021
Neural Networks

The Symbolic World: Raising A Turing’s Child Machine (1/2) | by Puttatida Mahapattanakul | Feb, 2021

March 3, 2021
The Ways in Which Big Data can Transform Talent Management and Human Resources | by Amelia Jackson | Feb, 2021
Neural Networks

The Ways in Which Big Data can Transform Talent Management and Human Resources | by Amelia Jackson | Feb, 2021

March 3, 2021
Why small businesses and startups should always use Analytics and AI | by Yogesh Chauhan | Feb, 2021
Neural Networks

Why small businesses and startups should always use Analytics and AI | by Yogesh Chauhan | Feb, 2021

March 2, 2021
Data Annotation Service: a Potential and Problematic Industry Behind AI | by ByteBridge
Neural Networks

Data Annotation Service: a Potential and Problematic Industry Behind AI | by ByteBridge

March 2, 2021
Next Post
NVIDIA BrandVoice: Reaping Success With Enterprise Machine Learning

NVIDIA BrandVoice: Reaping Success With Enterprise Machine Learning

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

13 challenges creating an open, scalable, and secure serverless platform – IBM Developer
Technology Companies

13 challenges creating an open, scalable, and secure serverless platform – IBM Developer

March 4, 2021
Ursnif Trojan has targeted over 100 Italian banks
Internet Security

Ursnif Trojan has targeted over 100 Italian banks

March 4, 2021
Hackers Now Hiding ObliqueRAT Payload in Images to Evade Detection
Internet Privacy

Hackers Now Hiding ObliqueRAT Payload in Images to Evade Detection

March 4, 2021
Streamlining data science with open source: Data version control and continuous machine learning
Big Data

Streamlining data science with open source: Data version control and continuous machine learning

March 4, 2021
Companion Raises $8M Seed Round to Use Machine Learning and Computer Vision to Talk to Dogs
Machine Learning

Companion Raises $8M Seed Round to Use Machine Learning and Computer Vision to Talk to Dogs

March 3, 2021
The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021
Neural Networks

The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021

March 3, 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?

  • 13 challenges creating an open, scalable, and secure serverless platform – IBM Developer March 4, 2021
  • Ursnif Trojan has targeted over 100 Italian banks March 4, 2021
  • Hackers Now Hiding ObliqueRAT Payload in Images to Evade Detection March 4, 2021
  • Streamlining data science with open source: Data version control and continuous machine learning March 4, 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