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