{"doi":"10.1109/jbhi.2025.3549255","title":"Smoking Detection and Cessation: An Updated Scoping Review of Digital and Mobile Health Technologies","abstract":null,"journal":"IEEE Journal of Biomedical and Health Informatics","year":2025,"id":638649,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1498707,"name":"Francesco Guarnera","orcid":"0000-0002-7703-3367","position":1,"is_corresponding":false},{"id":1596423,"name":"Giusy Rita Maria La Rosa","orcid":"0000-0001-5127-5299","position":2,"is_corresponding":false},{"id":1498709,"name":"Sebastiano Battiato","orcid":"0000-0001-6127-2470","position":3,"is_corresponding":false},{"id":578418,"name":"Pasquale Caponnetto","orcid":"0000-0001-7414-155X","position":4,"is_corresponding":false},{"id":578420,"name":"Riccardo Polosa","orcid":"0000-0002-8450-5721","position":5,"is_corresponding":false},{"id":1658949,"name":"Rosalia Emma","orcid":"0000-0002-2564-553X","position":6,"is_corresponding":false},{"id":1658948,"name":"Mirko Casu","orcid":"0000-0001-6975-2241","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Smoking Detection and Cessation: An Updated Scoping Review of Digital and Mobile Health Technologies","abstract":"Digital and mobile health technologies offer promising solutions for smoking detection and cessation. This scoping review examines the current state of research and development in this field, encompassing smartphone applications, wearable devices, and sensor-based systems. We analyzed 49 studies published between 2019 and 2023 from PubMed and ACM Digital Library, focusing on technology features, outcomes, and evaluation methods. Wearable sensors and smartphone apps show potential in combating smoking addiction and improving quit rates. Motion sensors for hand-to-mouth gesture detection achieve high accuracy in controlled settings but face challenges in real-world applications. Machine learning models and wireless signal detection techniques yield encouraging results but require further refinement. Smartphone apps provide personalized plans and progress tracking, though most rely on manual logging and lack rigorous scientific evaluation. Our findings suggest that digital health technologies could significantly enhance smoking cessation efforts. However, more robust evaluation methods and integration of sensor data with machine learning are needed to improve usability and effectiveness. Continued research and innovation in this field are crucial for developing reliable, practical solutions and integrating these technologies into clinical programs.","is_dataset_classified":null,"base_score":1.791759469228055,"endowment":1.791759469228055,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"40063434","pmcid":null,"openalex_id":"https://openalex.org/W4408304384","authors":[],"funders":[{"funder_name":"Ministry of University and Research","grant_id":"","title":null},{"funder_name":"Future Artificial Intelligence Research","grant_id":"","title":null},{"funder_name":"National Recovery and Resilience Plan","grant_id":"","title":null},{"funder_name":"Sicilian Micro and Nano Technology Research","grant_id":"","title":null}],"total_grants":4,"fwci":8.1106,"citation_percentile":0.97104289,"influential_citations":0,"citation_trend":[{"year":2025,"count":1},{"year":2026,"count":4}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.1109/jbhi.2025.3549255","host_type":"journal"},{"url":"https://doi.org/10.1109/jbhi.2025.3549255","host_type":"HYBRID"},{"url":"https://doi.org/10.1109/jbhi.2025.3549255","host_type":"publisher"},{"url":"http://xplorestaging.ieee.org/ielx8/6221020/11068702/10918742.pdf?arnumber=10918742","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/40063434","host_type":"repository"}],"fields_of_study":["Mobile Health and mHealth Applications","Smoking Behavior and Cessation","Medicine","Computer Science","Humans","Smoking Cessation","Telemedicine","Wearable Electronic Devices","Mobile Applications","Smartphone","Machine Learning","Smoking"],"mesh_terms":["Smartphone","Machine Learning","Wearable Electronic Devices","Humans","Smoking","Smoking Cessation","Telemedicine","Mobile Applications"],"keywords":["Smoking cessation","Computer science","Digital health","Medicine","Health care","Political science"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T21:06:11.023227Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}