Implementation of AI and ML for Oncology with an Analysis of Biotechnology, Nanotechnology & POC

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Observational analysis reveals improved cancer diagnostics and treatment in underprivileged regions, suggesting AI and ML significance.

Integration of AI and ML enhances cancer care, leading to accurate diagnoses and personalized treatment plans.
Deep learning and natural language processing techniques utilize large datasets to uncover new patterns in oncology.
Nanotechnology improves drug delivery systems and enables non-invasive tumor characterization for better outcomes.
Ethical considerations highlight the need for careful implementation of AI in oncology to maximize benefits while minimizing risks.

Srinija Chukkapalli (2024) studied this question.

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