Call for Book Chapters

Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare


Theme, Aims and Scope

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 well-being. 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.

Data is the fuel for any AI application. In the medical domain, on the other hand, data can be challenging to obtain, mainly for privacy concerns. That makes the combination of both AI and healthcare a significant research challenge.

In this book, we aim to highlight the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions.

We particularly encourage submissions of state of the art and tutorial-based articles.


Topics of interest include, but are not limited to: Artificial Intelligence for:

  • Disease detection

  • Reducing human errors in medical treatment

  • Healthcare ( with focus on Machine learning and deep learning techniques)

  • Reducing medical misdiagnosis errors

  • Cancer scanning

  • Managing long term conditions such as Alzheimer's and Parkinson's disease

  • Medical Imaging and cell biology

  • Guided robots for medical care

  • Surgery and Intervention

  • Precision medicine informatics

  • Therapeutics

  • Electronic health records and clinical knowledge management

  • Mental health adaptive tools and apps

  • Follow-up of post-discharge patients

  • Public health surveillance

  • Ethical implications of using AI in healthcare

  • Convergence and standardisation issues for AI in healthcare

  • Security and privacy features for AI in healthcare

Submission Guidelines

  • For the first draft, there is no page limit and no specific file template to follow.

  • Chapters should be submitted in word or pdf format to the following email address:

Important Dates

  • Chapter proposal/abstract submission: September, 15th 2021 [Extended]

  • Notification of initial acceptance: September, 30th, 2021

  • Chapter Submission: November, 30th, 2021 [Extended]

  • Feedback/Review on chapters: December, 15th 2021

  • Final Chapter Submission: December 31st, 2021

Review Process

Book chapters will be peer-reviewed and the following criteria will be applied for the selection process.

· Quality of contribution in terms of novelty, structure and clarity

· The chapters should be self-contained and written in a tutorial-based format.

· Comparison with related work should be included

· Case studies should highlight the 'generic' lessons learned to be applied in similar projects

· Contributions should address a topic related to the application of AI in healthcare.

· Survey papers are also welcome

Authors Pack

Once your chapter has been accepted, please use the Latex template found here to format your paper.


The edited book will be published by CRC Press.

Book Editors

Dr. Ghita Kouadri Mostefaoui

Department of Computer Science

University College London

Gower Street 66-72, London WC1E 6BT

United Kingdom


Dr. S. M. Riazul Islam

Department of Computer Science and Engineering

Sejong University, Seoul 05006

South Korea


Dr. Faisal Tariq

James Watt School of Engineering

University of Glasgow

72 Oakfield Avenue

United Kingdom


Latest information about the Call for Papers can be found here: