UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 11
November-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2511476


Registration ID:
571930

Page Number

e608-e623

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Title

Recent AI Technologies in Cancer Detection and Treatment

Abstract

Cancer continues to be a significant international health issue, which demands the invention of new methods for early detection, precise diagnoses, and personalized treatments. Artificial intelligence (AI) has rapidly become a groundbreaking component in the modern era of oncology, offering sophisticated tools across the range of cancer care. In this review, we performed a systematic survey of the current status of AI technologies used for cancer diagnoses and therapeutic approaches. We discuss AI facilitated imaging diagnostics using a range of modalities such as computed tomography, magnetic resonance imaging, positron emission tomography, ultrasound, and digital pathology, highlighting the growing role of deep learning in detecting early stage cancers. We also explore applications of AI in genomics and biomarker discovery, liquid biopsies, and noninvasive diagnoses. In therapeutic interventions, AI based clinical decision support systems, individualized treatment planning, and AI facilitated drug discovery are transforming precision cancer therapies. The review also evaluates the effects of AI on radiation therapy, robotic surgery, and patient management; including survival predictions, remote monitoring, and AI facilitated clinical trials. Finally, we discuss important challenges such as data privacy, interpretability, and regulatory issues, and recommend future directions that involve the use of federated learning, synthetic biology, and quantum boosted AI. This review highlights the groundbreaking potential of AI to revolutionize cancer care by making diagnostics, treatments, and patient management more precise, efficient, and personalized.

Key Words

Keywords: Cancer, Artificial intelligence (AI), Machine learning (ML), Cancer diagnosis, Deep learning (DL)

Cite This Article

"Recent AI Technologies in Cancer Detection and Treatment ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.e608-e623, November-2025, Available :http://www.jetir.org/papers/JETIR2511476.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Recent AI Technologies in Cancer Detection and Treatment ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppe608-e623, November-2025, Available at : http://www.jetir.org/papers/JETIR2511476.pdf

Publication Details

Published Paper ID: JETIR2511476
Registration ID: 571930
Published In: Volume 12 | Issue 11 | Year November-2025
DOI (Digital Object Identifier):
Page No: e608-e623
Country: West Godavari, Andhra Pradesh , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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