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@article{177165,
        author = {Narendra KUmar S and Apoorva Bilagundi and Varsha M and Vidhi Khandelwal},
        title = {Capsule Endoscopy: Evolution of Wireless Imaging for Gastrointestinal Diagnostics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {321-324},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177165},
        abstract = {Wireless Capsule Endoscopy (WCE) represents a transformative approach in gastrointestinal diagnostics, offering a non-invasive, patient-friendly alternative to traditional endoscopy. Wireless capsule endoscopy (WCE) offers a feasible non invasive way to detect the whole gastrointestinal (GI) tract and revolutionizes the diagnosis technology. However, compared with wired endoscopies, the limited working time, the low frame rate, and the low image resolution limit the wider application. Recent advancements incorporate intelligent systems, deep learning, and wireless power transmission to enhance diagnostic accuracy, extend operational time, and enable potential therapeutic interventions. This review consolidates recent research findings, highlighting the technological evolution, design methodologies, and clinical impact of modern WCE systems and a comparison between traditional method and current method.},
        keywords = {Wireless Capsule Endoscopy, Deep Learning, Wireless Power Transmission, Gastrointestinal Diagnostics, FPGA, AI},
        month = {April},
        }