ResProt JMIR Res Protoc JMIR Research Protocols 1929-0748 JMIR Publications Toronto, Canada v14i1e79873 41364920 10.2196/79873 Corrigenda and Addenda Corrigenda and Addenda Correction: Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial Kamberi Ariana MBA 1
Division of Health Informatics and Implementation Science Department of Population and Quantitative Health Sciences UMass Chan Medical School 55 Lake Ave North Worcester, MA, 01655 United States 1 774 317 1539 Ariana.Kamberi@umassmed.edu
https://orcid.org/0000-0001-5363-825X Weitz Benjamin BS 1 https://orcid.org/0009-0000-0532-0781 Flahive Julie MS 2 https://orcid.org/0000-0002-2786-7144 Balakrishnan Kavitha BS 1 https://orcid.org/0009-0005-8170-5604 Eve Julianna PhD 3 https://orcid.org/0000-0003-2763-1630 Najjar Reem BS 1 https://orcid.org/0009-0008-7248-635X Liaghat Tara MS 4 https://orcid.org/0009-0006-2882-2710 Ford Daniel MD 4 https://orcid.org/0000-0002-2549-2289 Lindenauer Peter MD 3 https://orcid.org/0000-0002-8414-0507 Person Sharina PhD 2 https://orcid.org/0000-0001-9121-9566 Houston Thomas K MD, MPH 5 https://orcid.org/0000-0002-2909-4018 Gauvey-Kern Megan E MS 4 https://orcid.org/0000-0003-1662-5243 Lobien Jackie BSN, CCRP-CP 4 https://orcid.org/0009-0001-8934-4576 Sadasivam Rajani S PhD 1 https://orcid.org/0000-0001-8406-6207 Division of Health Informatics and Implementation Science Department of Population and Quantitative Health Sciences UMass Chan Medical School Worcester, MA United States Division of Biostatistics and Health Services Research Department of Population and Quantitative Health Sciences UMass Chan Medical School Worcester, MA United States Department of Healthcare Delivery and Population Sciences University of Massachusetts Chan Medical School-Baystate Springfield, MA United States Institute for Clinical and Translational Research School of Medicine Johns Hopkins University Baltimore, MD United States Department of Internal Medicine Wake Forest University Winston-Salem, NC United States Corresponding Author: Ariana Kamberi Ariana.Kamberi@umassmed.edu 2025 9 12 2025 14 e79873 22 7 2025 13 11 2025 ©Ariana Kamberi, Benjamin Weitz, Julie Flahive, Kavitha Balakrishnan, Julianna Eve, Reem Najjar, Tara Liaghat, Daniel Ford, Peter Lindenauer, Sharina Person, Thomas K Houston, Megan E Gauvey-Kern, Jackie Lobien, Rajani S Sadasivam. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 09.12.2025. 2025

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.

 https://www.researchprotocols.org/2025/1/e63693

In “Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial,” [1] the authors made one addition:

Kavitha Balakrishnan, BS

was added as an author to the study protocol. Neither the ‘Acknowledgments’ nor ‘Conflicts of Interest’ needed to be amended.

The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Kamberi Ariana Weitz Benjamin Flahive Julie Eve Julianna Najjar Reem Liaghat Tara Ford Daniel Lindenauer Peter Person Sharina Houston Thomas K Gauvey-Kern Megan E Lobien Jackie Sadasivam Rajani S Testing a Machine Learning-Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial JMIR Res Protoc 2025 04 16 14 e63693 10.2196/63693 40239194 v14i1e63693 PMC12044314