Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians’ Evaluation of Large Language Models for Smoking Cessation Interventions

Author:

Calle Paul1ORCID,Shao Ruosi2ORCID,Liu Yunlong1ORCID,Hébert Emily T3ORCID,Kendzor Darla4ORCID,Neil Jordan4ORCID,Businelle Michael4ORCID,Pan Chongle1ORCID

Affiliation:

1. School of Computer Science, University of Oklahoma, United States

2. TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, United States

3. Department of Health Promotion and Behavioral Sciences, UTHealth School of Public Health, United States

4. TSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, United States and Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, USA

Funder

Oklahoma Tobacco Settlement Endowment Trust

National Institute on Drug Abuse

National Cancer Institute

Publisher

ACM

Reference104 articles.

1. A Content Analysis of Popular Smartphone Apps for Smoking Cessation

2. Imtihan Ahmed, Eric Keilty, Carolynne Cooper, Peter Selby, and Jonathan Rose. 2022. Generation and Classification of Motivational-Interviewing-Style Reflections for Smoking Behaviour Change Using Few-Shot Learning with Transformers. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022).

3. R Ananthakrishnan Pushpak Bhattacharyya M Sasikumar and Ritesh M Shah. 2007. Some issues in automatic evaluation of english-hindi mt: more blues for bleu. (2007).

4. Measuring Message Credibility

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