New AI Model Detects Recent Cannabis Use, Aiding Quick Medical Care

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New AI Model Detects Recent Cannabis Use, Aiding Quick Medical Care

A new AI model has been developed that may have the ability to detect if someone has recently used cannabis. This advancement in technology could potentially assist medical professionals in quickly determining if someone in need of medical care has consumed cannabis. Currently, professionals rely on lab results from urine, saliva, or hair strand samples, which can take several days to analyze and provide feedback. To address this issue, researcher Sang Won Bae from the Stevens Institute of Technology and colleagues embarked on finding a way to rapidly identify cannabis use.

The research conducted by the team involved studying a group of 33 adults who reported cannabis use at least twice a week. Participants were asked to document their cannabis usage on a daily basis for up to 30 days while also wearing an activity tracker. This tracker collected various data such as heart rates, step counts, and sleep quality. Additionally, the participants’ smartphones were equipped with sensors that monitored micromovements, including how the phone was held, which determined stability and coordination.

Using the data collected from a subset of participants, an AI model was trained to identify potential indicators of recent cannabis use. The AI was then tested on the remaining participants’ data to assess its accuracy. The results showed that the AI model had an 85 percent success rate in detecting individuals who were moderately high within the past five minutes.

However, despite these promising results, some experts remain skeptical and suggest further research is needed. Joseph Wu from Stanford University and Mark Chandy from Western University agree that testing on a larger group of subjects is necessary to validate the findings.

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There are also concerns raised by experts regarding the reliability of self-reported cannabis usage by the participants. The accuracy of self-reporting can be subjective and potentially biased, which could impact the AI model’s effectiveness.

In conclusion, the development of this new AI model holds promise in aiding quick medical care by detecting recent cannabis use. While the initial results are encouraging, more extensive research with a larger sample size is needed to ensure its accuracy and reliability. Additionally, addressing concerns related to self-reporting and potential biases will be crucial in further enhancing the AI’s capabilities. Overall, this technology has the potential to revolutionize the way medical professionals determine cannabis use and provide prompt care accordingly.

Disclaimer: All recommendations within this article are informed by expert editorial opinion. If you click on a link in this story, we may earn affiliate revenue.

References:
– New AI Model Detects Recent Cannabis Use, Aiding Quick Medical Care – [original article URL]
– Joseph Wu, Stanford University
– Mark Chandy, Western University

Frequently Asked Questions (FAQs) Related to the Above News

What is the new AI model that has been developed?

The new AI model is a technology that can potentially detect if someone has recently used cannabis.

How can this AI model assist medical professionals?

This AI model can aid medical professionals in quickly determining if someone in need of medical care has recently consumed cannabis, allowing them to provide timely and appropriate care.

How do professionals currently determine cannabis use?

Currently, professionals rely on lab results from urine, saliva, or hair strand samples, which can take several days to analyze and provide feedback.

How did the researchers develop this AI model?

The researchers conducted a study involving 33 adults who reported regular cannabis use. Participants documented their cannabis usage and wore activity trackers that collected data such as heart rates, step counts, and sleep quality. Additionally, sensors on their smartphones monitored micromovements, including how the phone was held, which determined stability and coordination.

What were the results of testing the AI model?

The AI model showed an 85 percent success rate in detecting individuals who were moderately high within the past five minutes.

Are there any concerns about the AI model's accuracy?

Yes, some experts remain skeptical and suggest further research with a larger group of subjects to validate the findings.

What are the concerns related to self-reporting of cannabis usage?

Experts have raised concerns about the reliability of self-reported cannabis usage by the participants. The accuracy of self-reporting can be subjective and potentially biased, which could impact the AI model's effectiveness.

What is needed for the AI model to be further enhanced?

To further enhance the AI model's capabilities, more extensive research with a larger sample size and addressing concerns related to self-reporting and potential biases is crucial.

How can this AI model revolutionize the way medical professionals determine cannabis use?

This AI model can provide a quicker and more efficient method for medical professionals to identify recent cannabis use, allowing them to provide timely and appropriate care.

Are the recommendations in this article based on expert opinions?

Yes, all recommendations within this article are informed by expert editorial opinion.

Is there any potential financial gain associated with the article's links?

Yes, if you click on a link in this story, the possibility of earning affiliate revenue exists.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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