Smoking Cessation by Electronic Cigarettes and Applied Artificial Intelligence

Authors

  • Henglong Ma Cleveland State University (at Cleveland, OH)
  • Charlie Huang The Ohio State University (at Columbus, OH)
  • Crystal Dunlevy The Ohio State University (at Columbus, OH)

DOI:

https://doi.org/10.47611/jsr.v9i1.798

Keywords:

smoking, smoking cessation, e-cigarettes, e-cigarette, e-cigs, e-cig, tobacco, AI, adults, United States, cigarettes per day

Abstract

Numerous fields and administrations are embracing smart robotics. Despite the vast advancements in robotics for health care, there is limited practice and examination on utilizing electronic cigarettes (e-cigarettes, e-cigs, ENDS) and applied artificial intelligence (AI) to aid tobacco consumers to quit smoking. E-cigs and AI are certainly significant tools that have the potential in helping Americans reduce smoking. It can be valuable for society to determine if e-smoking (smoking e-cigs) is much safer and cleaner than traditional smoking.

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Author Biography

Crystal Dunlevy, The Ohio State University (at Columbus, OH)

Crystal Dunlevy, EdD, RRT, RCP

Professor - Clinical

School of Health & Rehabilitation Sciences Health Sciences

306G Atwell Hall, 453 W. Tenth Ave., Columbus, OH, 43210

614.292.0996 Office

References or Bibliography

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Published

2020-11-03

How to Cite

Ma, H., Huang, C., & Dunlevy, C. (2020). Smoking Cessation by Electronic Cigarettes and Applied Artificial Intelligence. Journal of Student Research, 9(1). https://doi.org/10.47611/jsr.v9i1.798

Issue

Section

Review Articles