One of the biggest causes of illness and
death on the globe, cancer continues to be a problem for healthcare systems.
From early detection and diagnosis to treatment planning and long-term patient
monitoring, recent developments in artificial intelligence (AI) and big data
technologies have brought forth revolutionary possibilities in the field of
cancer care. This chapter explores the pivotal role of AI and Big Data in
revolutionising oncology by providing innovative, data-driven health solutions
aimed at improving patient outcomes and optimising healthcare delivery.
This chapter's main goal is to give an
overview of how AI and Big Data are changing cancer research, diagnosis,
treatment, and patient care. It starts by providing basic information about
cancer, such as its definitions, the main types (solid tumours, hematologic
malignancies, and rare cancers), and statistics on incidence, survival rates,
and healthcare burden as of right now. Building upon this foundation, the
chapter delves into the critical sources of Big Data in oncology—such as
Electronic Health Records (EHRs), genomic databases, clinical trials, and
patient-reported outcomes, and addresses the challenges of integrating and
managing these vast data sets. The chapter further investigates the application
of AI in cancer diagnosis through advanced imaging analysis, machine learning
models for early detection, and risk prediction tools. It highlights how AI
facilitates personalised treatment planning by enabling genomic profiling,
biomarker discovery, and the development of clinical decision support systems.
Patient monitoring is also examined, showcasing the role of remote
technologies, wearable devices, and telemedicine in enhancing quality of life
and symptom management for cancer patients. Ethical considerations, including
data privacy, algorithmic bias, and the regulatory landscape, are critically
analysed to ensure responsible AI implementation. The chapter concludes with a
discussion on future innovations—such as Natural Language Processing (NLP),
next-generation machine learning techniques, and AI’s potential role in drug
development—and presents real-world case studies demonstrating successful
integration of AI and Big Data in cancer care.
The main aim of this chapter is to
emphasise the transformative potential of AI and Big Data in oncology while
advocating for continuous research, interdisciplinary collaboration, and a
strong patient-centric approach. It calls on healthcare professionals,
technologists, researchers, and policymakers to work together in harnessing
these technologies for more equitable, efficient, and effective cancer care in
the future.
Author (s) Details
J. Sukanya
Department of Computer Science, M.V.
Muthiah Government Arts College for Women, Dindigul, India.
A. Subramani
Department of Computer Science,
Government Arts and Science College, Natham, Dindigul, India.
S. Vijayakumar
Department of AI/ML, Madurai Kamaraj
University, Madurai, India.
S. Krishnaveni
Department of Computer Science, M.V.
Muthiah Government Arts College for Women, Dindigul, India.
Please see the book here:- https://doi.org/10.9734/bpi/msraa/v6/5674
No comments:
Post a Comment