Artificial intelligence in addiction medicine with Patrick Kelly

In this episode, Dr Elle Wadsworth talks to Patrick Kelly, a doctoral candidate at Brown University School of Public Health in the US. The interview covers Patrick’s article on clinicians' and people who use drugs' perspectives on artificial intelligence in addiction medicine.

• What is artificial intelligence and how has artificial intelligence been used in the field of addiction so far [01:18]
• The importance of knowing the perspectives of clinicians and people who use drugs with regards to artificial intelligence [03:39]
• What aspects of addiction medicine make it difficult to build artificial intelligence tools [05:34]
• The setting and sample of Patrick’s study [07:46]
• Patrick’s first theme drawn out from interviews with clinicians [08:57]
• Patrick’s second theme drawn out from interviews with clinicians [10:19]
• Patrick’s third theme drawn out from interviews with clinicians [11:30]
• Patrick’s fourth theme drawn out from interviews with people who use drugs [12:33]
• Patrick’s fifth and final theme drawn out from interviews with people who use drugs [13:31]
• How Patrick would like the findings to contribute to the field [15:11]
• Being cautiously optimistic about artificial intelligence in addiction medicine [17:39]
• The next steps [19:35]

About Elle Wadsworth: Elle is an academic fellow with the Society for the Study of Addiction. She is based at the University of Bath with the Addiction and Mental Health Group and her research interests include drug policy, cannabis legalisation, and public health. Elle holds a voluntary role at The Loop, a non-profit service provider of drug checking in the UK.

About Patrick Kelly: Patrick is an addiction scientist, National Institutes of Health (NIH) pre-doctoral fellow, and a PhD Candidate at the Brown University School of Public Health. His research program focuses on measuring multilevel stigma and unregulated drug supply changes using qualitative methods and artificial intelligence tools applied to real-world datasets to design and implement interventions that reduce addiction-related morbidity and mortality.

Elle and Patrick have no declarations of interest.

Original article: Clinicians' and people who use drugs' perspectives on artificial intelligence in addiction medicine https://doi.org/10.1111/add.70586

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