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The European Journal of Cancer, 2025, Volume 11, Issue 1, Pages: 1-8
Lung Cancer Screening in India: Role of Digital healthcare and Artificial Intelligence: Where do we stand and future perspectives.
Correspondence to Author: Kulshrestha Ritu1, Meenu Rani2.
1. Director Professor & Head, Department of Pathology, V.P.Chest Institute, University of Delhi.
2. PhD Scholar, Department of Pathology, V.P.Chest Institute, University of Delhi.
Abstract:
Lung cancer has a high prevalence and low survival rate in India due to patients presenting at late-stage. The National Cancer Control programs
and Tobacco cessation programs are working to improve their diagnosis and management. However, there are no public health programs for
Lung Cancer Screening in India.
The early detection/Screening for Lung Cancer in India is vital for improving patient outcomes and is the emergent need of this decade. The
unique risk factors predisposing to lung cancer, epidemiological variations across various geographical regions of India, multistep carcinogenesis,
proteogenomics associated with lung cancer are focus areas of developing screening parameters specific to our country.
In this review, we collate the available data of Lung Cancer from India. We explore the potential applicability of the National Digital health Mission
started in India in 2020, for initiating the lung cancer screening programme. Further we assess the applicability of upcoming newer technologies
using Artificial intelligence in creating a Lung cancer screening module in association with Digital healthcare programme in India to benefit the
1.5 billion population of India.
Keywords:Lung Cancer Screening, India, Artificial Intelligence, LDCT.
Citation:
Kulshrestha Ritu, Lung Cancer Screening in India: Role of Digital healthcare and Artificial Intelligence: Where do we stand and future perspectives. The European Journal of Cancer 2025.
Journal Info
- Journal Name: The European Journal of Cancer
- Impact Factor: 2.0
- ISSN: 3064-6731
- DOI: 10.52338/tejoc
- Short Name: TEJOC
- Acceptance rate: 55%
- Volume: 7 (2024)
- Submission to acceptance: 25 days
- Acceptance to publication: 10 days
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