An Artificial Intelligence (AI)-Integrated Approach to Enhance Early Detection and Personalized Treatment Strategies in Lung Cancer Among Smokers: A Literature Review

Lung cancer (LC) is a significant global health issue, particularly among smokers, and is characterized by high rates of incidence and mortality. This comprehensive review offers detailed insights into the potential of artificial intelligence (AI) to revolutionize early detection and personalized tr...

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Bibliographic Details
Published in:Curēus (Palo Alto, CA) CA), 2024-08, Vol.16 (8), p.e66688
Main Authors: Chapla, Deep, Chorya, Harshal P, Ishfaq, Lyluma, Khan, Afrasayab, Vr, Subrahmanyan, Garg, Sheenam
Format: Article
Language:English
Subjects:
Artificial intelligence
Breast cancer
Cardiovascular disease
Cellular biology
Cigarettes
Colorectal cancer
Datasets
Fatalities
Females
Health care industry
Healthcare Technology
Lung cancer
Males
Mammography
Medical imaging
Medical prognosis
Medical screening
Mortality
Oral Medicine
Pulmonology
Radiomics
Smoking
Surgery
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Summary:Lung cancer (LC) is a significant global health issue, particularly among smokers, and is characterized by high rates of incidence and mortality. This comprehensive review offers detailed insights into the potential of artificial intelligence (AI) to revolutionize early detection and personalized treatment strategies for LC. By critically evaluating the limitations of conventional methodologies, we emphasize the innovative potential of AI-driven risk prediction models and imaging analyses to enhance diagnostic precision and improve patient outcomes. Our in-depth analysis of the current state of AI integration in LC care highlights the achievements and challenges encountered in real-world applications, thereby shedding light on practical implementation. Furthermore, we examined the profound implications of AI on treatment response, survival rates, and patient satisfaction, addressing ethical considerations to ensure responsible deployment. In the future, we will outline emerging technologies, anticipate potential barriers to their adoption, and identify areas for further research, emphasizing the importance of collaborative efforts to fully harness the transformative potential of AI in reshaping LC therapy. Ultimately, this review underscores the transformative impact of AI on LC care and advocates for a collective commitment to innovation, collaboration, and ethical stewardship in healthcare.
ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.66688