Preeti Kale
Rural Dental college, PIMS (DU), Loni, Maharashtra, IndiaPublications
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Review Article
The future of cervical cancer detection: a comprehensive analysis of artificial intelligence technologies
Author(s): Nazia Khan, Srikar Praneeth Chilla, Anirudh Reddy Addula, Aditya Kaushal Paul Reddymas, Preeti Kale* and Akshaya N Shetti
Cervical cancer continues to pose a significant global health burden, despite advancements in screening and early detection. In recent years, the integration of Artificial Intelligence (AI) technologies has emerged as a promising approach to enhance cervical cancer detection and diagnosis. The challenges associated with existing screening methods; AI-based approaches that have been developed to address these challenges are explored. Through a systematic review of the literature, we highlight the strengths and limitations of different AI algorithms and methodologies employed in cervical cancer detection, the role of machine learning, deep learning, and other AI techniques in improving the accuracy and efficiency of screening programs, as well as their potential impact on reducing disparities in cervical cancer outcomes. The integration of AI technologies into existing screening framewo.. Read More»
Editors List
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Ahmed Hussien Alshewered
University of Basrah College of Medicine, Iraq
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Sudhakar Tummala
Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh
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Alphonse Laya
Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis
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Fava Maria Giovanna
- Manuprasad Avaronnan
Google Scholar citation report
Citations : 558
Onkologia i Radioterapia received 558 citations as per Google Scholar report
Onkologia i Radioterapia peer review process verified at publons
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