Addiction care enters AI era: relapse risk, personalised treatment and monitoring


 The field of addiction medicine is beginning to embrace Artificial Intelligence to improve recovery outcomes for patients with substance use disorders. Historically, predicting when a patient might relapse has been difficult, leaving doctors to react only after a setback occurs. Now, AI models are changing this by analyzing behavioral patterns to predict relapse risks before they happen. This allows therapists to intervene earlier, offering support precisely when the patient is most vulnerable, rather than waiting for a crisis.

Beyond risk prediction, these digital tools are helping to personalize treatment plans. AI can analyze a patient's medical history and social factors to recommend the specific therapies that are most likely to work for them. While the human connection remains the heart of addiction recovery, these smart tools act as a powerful assistant. By providing data-driven insights, AI empowers clinicians to tailor their care, potentially increasing the long-term success rates for individuals fighting to overcome addiction.

Read the original article at: https://aiin.healthcare/topics/artificial-intelligence/addiction-medicine-eager-embrace-ai


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