By Robert Preidt HealthDay Reporter

Health Day Reporter

TUESDAY, April 19, 2022 (HealthDay News) – Artificial intelligence (AI) may be able to identify alcoholics at risk of recurrence after treatment, say researchers.

Patients often return to heavy alcohol consumption during and after treatment and may need more testing before they can achieve long-term abstinence from unhealthy alcohol.

AI can allow caregivers and patients to predict relapses of alcohol and adjust their treatment before they occur, researchers at Yale University have found.

In a new study, investigators used clinical data and a form of AI called machine learning to develop models that predict relapse among patients in an outpatient treatment program.

Data from more than 1,300 US adults in a 16-week clinical trial of treatment in 11 centers were used to develop and test predictive models.

Patients were randomly assigned to one of nine combinations of drugs or behavioral therapy, and data on how they coped were used to “train” machine learning algorithms.

By Robert Preidt HealthDay Reporter

Health Day Reporter

TUESDAY, April 19, 2022 (HealthDay News) – Artificial intelligence (AI) may be able to identify alcoholics at risk of recurrence after treatment, say researchers.

Patients often return to heavy alcohol consumption during and after treatment and may need more testing before they can achieve long-term abstinence from unhealthy alcohol.

AI can allow caregivers and patients to predict relapses of alcohol and adjust their treatment before they occur, researchers at Yale University have found.

In a new study, investigators used clinical data and a form of AI called machine learning to develop models that predict relapse among patients in an outpatient treatment program.

Data from more than 1,300 US adults in a 16-week clinical trial of treatment in 11 centers were used to develop and test predictive models.

Patients were randomly assigned to one of nine combinations of drugs or behavioral therapy, and data on how they coped were used to “train” machine learning algorithms.

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