Abstract

ADVANCING CANCER CARE THROUGH ARTIFICIAL INTELLIGENCE

Lella Janaki*, Nali Mallikarjuna Rao, Kasa Aswini, Jonnalagadda Pravallika, Maradani Sirisha

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Abstract

Artificial Intelligence is revolutionizing the field of cancer care by enhancing early detection, improving diagnostic precision, and supporting personalised treatment plans. Using advanced algorithms such as machine learning and deep learning. Artificial intelligence can process complex medical data from imaging, pathology, and genomic sources to deliver fast and more accurate clinical awareness. In cancer screening, AI tools detect early lesions in radiological and histopathological images with high sensitivity, reducing human error and diagnostic delays.[4–6,12] In precision oncology, AI integrates multi-omics data, helping predict therapy response and resistance to optimize treatment plans.[9,10] It also supports radiation oncology through automated planning and real-time adjustments.[7,8,16] Despite its success, challenges persist, including data privacy, model transparency, and ethical issues.[1–3,14,15] Explainable AI and collaborative learning are emerging to address these gaps. This review discusses AI’s growing role in the cancer-care continuum, emphasizing its applications, challenges, and future directions. It provides a simplified yet complete overview for students and researchers to understand how AI can make cancer more precise, accessible, and patientcentered.[1–3,7,9,10]

Keywords: Artificial intelligence; Cancer; Deep learning; Diagnosis; Machine learning; Multi-omics; Oncology; Pathology; Precision oncology; Radiology; Radiotherapy; Screening.