Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment

Artificial intelligence meets the cancer care pathway

Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment brings together clinical cancer care and computational methods in a way that is unusually structured and easy to follow. Rather than treating AI as a single tool, the book looks at where it can support each stage of the patient journey: diagnosis, pathology, surgery, oncology, radiology, survival analysis, and future developments in care.

What the book focuses on

The emphasis is on practical application. Readers encounter the role of AI in helping clinicians interpret information, identify patterns in pathology and genetics, support surgical planning, and contribute to treatment decisions. The later material also addresses survival, remission, recurrence, and the broader future of AI in cancer research.

Why it stands out

This is not a lightweight overview. It is an academic treatment written for readers who want to understand how machine learning and related methods are being used in cancer management, and why the field matters for real clinical workflows. The subject is technical, but the presentation is intended to remain readable and approachable.

Suitable for

• clinicians and oncology professionals
• researchers in biomedical and health data science
• students in computer science, mathematics, statistics, and related fields
• readers interested in the intersection of AI and cancer care

A focused resource for a fast-moving field

For anyone building a serious understanding of artificial intelligence in oncology, this title offers a clear, staged view of where the technology fits and what kinds of decisions it may help inform.