Cancer Diagnosis Using Artificial Intelligence (AI) and Internet of Things (IoT)

Author:

Garse Samiksha1,Turabi Khadija Shahab1,Aich Jyotirmoi1,Ranjan Amit2,Nagar Shuchi3,Basu Soumya2ORCID,Devarajan Shine1

Affiliation:

1. School of Biotechnology and Bioinformatics, D.Y. Patil University (Deemed), Navi Mumbai, India

2. Cancer and Translational Research Centre, Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India

3. Bioinformatics Centre, Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India

Abstract

Cancer is an ailment that affects people from all walks of life. It is not age-specific, nor is it gender or race-specific. Affecting the cell cycle of various body parts like the brain, breast, etc., it increases the mortality rate, especially with the barriers in its early stage of detection. The advancement in technology has generated big datasets with high-resolution images. The oncologist's and clinician's diagnosis lacks accuracy, long time intervals, and limited information for advanced clinical care, influencing the survival rate. In the digital era, domain experts are reaping the importance of artificial intelligence (AI) techniques. As technology advances, AI and the internet of things (IoT) continue to escalate in the healthcare area, especially in cancer diagnosis. Researchers are looking for novel ways to diagnose cancer without the human-errors and false positives. Hence, the chapter focuses on all these imperative aspects of improved patient outcomes.

Publisher

IGI Global

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