Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare

Ghita Kouadri Mostefaoui (Editor), S. M. Riazul Islam (Editor), Faisal Tariq (Editor)

Research output: Book/ReportBookpeer-review

Abstract

Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and wellbeing. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This
book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book will be postgraduate students and researchers in the broad domain of healthcare technologies.
Original languageEnglish
PublisherCRC Press / Taylor Francis
Number of pages332
Edition1st
ISBN (Electronic)9781003251903
ISBN (Print)9781032168302, 9781032171265
Publication statusAccepted/In press - 2023

Cite this