Development and efficacy testing of an artificial intelligence enabled treatment package (eDOSTHI) for tobacco cessation: study protocol for a randomized controlled trial

Authors

Institutions

Publication Details

Journal
BMC Psychiatry
Published
2026-01-13
DOI
https://doi.org/10.1186/s12888-025-07691-6
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and efficacy testing of an artificial intelligence enabled treatment package (eDOSTHI) for tobacco cessation: study protocol for a randomized controlled trial

Soumya K. Ghosh, Arghya Pal, Kumari Rina, Kaushik Mukhopadhyay et al.
BMC Psychiatry
Artificial Intelligence in Healthcare and Education
article

Development and efficacy testing of an artificial intelligence enabled treatment package (eDOSTHI) for tobacco cessation: study protocol for a randomized controlled trial

Soumya K. Ghosh, Arghya Pal, Kumari Rina, Kaushik Mukhopadhyay, Jayanta Mukhopadhyay, Amandeep Kaur, Sukanto Sarkar, Aparajita Guin, Sudeshna Sarkar, Deepsikha Ray, Aniruddha Basu, Sirshendu Chaudhuri, Kamini Verma, Shreya Bhattacharya, Mahashweta Choudhury, Soumyajit Das
article en

Abstract

No abstract available for this paper.
BMC PsychiatryVol. 26(1)
University of Calcutta (IN), Indian Institute of Technology Kharagpur (IN), All India Institute of Medical Sciences (IN), International Institute of Information Technology, Hyderabad (IN), University of Kalyani (IN)
Good health and well-being
Openalex Percentile: Top 90%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.