Artificial intelligence tools may soon help a doctor spot a person who’s addicted to opioids earlier, thanks to a new self-diagnostic tool developed by the National Institutes of Health.
The tool, known as the Addiction Intrusion Scale, or AI-AS, is a digital neural network that can detect signs of opioid abuse or addiction. The AI-AS is a self-diagnostic tool that uses machine learning to assess whether a person is in need of a treatment program, but it does so more quickly than a clinical assessment.
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The AI-AS detects opioid abuse or addiction by asking questions about a person’s drug use. The questions are designed to mimic symptoms that a clinician might ask about someone in a treatment program. It uses the results of a previous study to predict whether a person is in need of treatment. It can also track a person’s progress in treatment and, for the first time, can give immediate feedback.
A study published in the Journal of the American Medical Association suggests that having a computer system that can do a certain task more quickly than a human can be a good way to reduce the time people have to spend in treatment. For example, a machine can use the results of a previous study to reduce the time needed to diagnose patients with addiction.
If a machine is so good at one task it can diagnose addiction much earlier, and the treatment process is so fast, then that may be a good way to help people. For example, an opioid addict might have a machine that can tell them exactly how long they have left until they can get clean. This would give them a “snapshot” of their progress and help them decide whether the drugs are still worth the time spent.
I think this could be a very promising development, but there are still some hurdles. For example, how do you get the machine to recognize the right things for addiction? Do you tell it to look for “drug abuse” in the drug history, or maybe “addiction to the drug”? The latter would be a little easier since “drug abuse” is more obvious, and it doesn’t necessarily mean addiction.
You could also tell the AI to look for other signs of the addict, like the fact that he’s always using drugs, the fact that he’s been through rehab, that he has a lot of friends, or how he talks about his family.
So far the AI is pretty good at spotting drug abuse, but it doesnt really have a good way to tell you if someone needs help. Now artificial intelligence is still in the early stages of its evolution, so we don’t have long to wait before we see more powerful and smarter systems doing things in our homes. But for now, I think artificial intelligence will help treat addiction earlier. But it won’t tell you if you need help.
And the kicker is, artificial intelligence is already used in a wide variety of medical settings. So why can we not use it for more than medical purposes? Because it is still not really a good enough system. But even if it was, I know a lot of people who would be happy to use it for everything from detecting Alzheimer’s to classifying whether or not someone’s autistic.
The problem is that AI is only as good as the algorithms that make it up. I don’t think AI is ready to do anything to actually help people. Not yet anyway.
