A Study on Gynecological Cancers Using Artificial Intelligence: A Revolutionary Approach
- Title
- A Study on Gynecological Cancers Using Artificial Intelligence: A Revolutionary Approach
- Creator
- Upreti, Kamal; Hunekari, Sheela; Upreti, Shitiz; Rai, Ashish Kumar; Alam, Mohammad Shabbir; Nasir, Mohammad Shahnawaz
- Description
- An examination of the role of artificial intelligence (AI) in ovarian, cervical, and breast cancer early detection and management is presented in this paper. Artificial intelligence (AI) can improve diagnostic accuracy, streamline treatment protocols, and facilitate personalized medicine approaches by leveraging advancements in machine learning (ML) and deep learning (DL). Various Artificial Intelligence models have demonstrated success in improving the outcomes of cancer diagnostics, including their ability to distinguish benign from malignant tumors. Technology challenges and ethical issues related to the integration of AI into clinical practice are also discussed in the review. Specifically, we want to illustrate how artificial intelligence can lead to better prognoses and reduced mortality rates for cancer patients by enhancing early detection capabilities. 2025 IEEE.
- Source
- 2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025;pp.259-263
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- analysis; artificial intelligence; detection; Gynecological cancer; prediction
- Coverage
- Upreti K., Christ University, Dept. of Computer Science, Delhi- NCR Campus, Ghaziabad, India; Hunekari S., School of Engineering and Technology, Pimpri Chinchwad University, Maharashtra, India; Upreti S., Maharishi Markandeshwar (Deemed to be University), Department of Management, Mullana, Haryana, Ambala, India; Rai A.K., Ramchandra Chandravansi University, Faculty of Commerce & Management, Jharkhand, India; Alam M.S., Cmj University, Dept. of Computer Science, India; Nasir M.S., Cmj University, Dept. of Computer Science, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833152749-5;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Upreti, Kamal; Hunekari, Sheela; Upreti, Shitiz; Rai, Ashish Kumar; Alam, Mohammad Shabbir; Nasir, Mohammad Shahnawaz, “A Study on Gynecological Cancers Using Artificial Intelligence: A Revolutionary Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25874.