Artificial Intelligence: A tool for effective diagnostics

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Smith K. Khare (Aarhus University (Denmark)) Sachin Taran (Delhi Technological University (India))

Artificial Intelligence

A tool for effective diagnostics

Smith K. Khare (Aarhus University (Denmark)), Sachin Taran (Delhi Technological University (India)), Ankush D. Jamthikar (Robert Wood Johnson Medical School (United States))

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English

Institute of Physics Publishing
26 November 2024

Pre-clinical medicine: basic sciences; Medical diagnosis; Diseases & disorders

Series: IOP ebooks

The book explores the application of artificial intelligence across various human-machine interfaces, addressing areas such as human attention, emotions, seizures, Alzheimer's disease, focal and non-focal disorders, electrocardiogram rhythms, abnormal heartbeats, and leukemia. It provides a thorough examination of techniques for analyzing and processing both physiological and physical signals, as well as smear blood images. Physiological signals discussed include electroencephalograms (EEG), electrocardiograms (ECG), and electronic health records (EHR), while physical signals encompass human speech. Serving as a comprehensive guide, the book delves into advanced signal processing techniques and the use of machine learning and deep learning for automated signal pre-processing and classification.

Key Features

Comprehensive review of the latest trends in physiological healthcare analytics for disease diagnostics

In-depth analysis of healthcare and major clinical applications using state-of-the-art AI techniques

Application of advanced and adaptive signal analysis methods for improved diagnostics

Integration of AI and transfer learning applications in healthcare

Contributions from highly cited researchers in their respective fields

Chapter content includes summaries, objectives, outcomes, worked examples, and multimedia

Extensive references are provided at the end of each chapter to support further research and study

Edited by: Smith K. Khare (Aarhus University (Denmark)), Sachin Taran (Delhi Technological University (India)), Ankush D. Jamthikar (Robert Wood Johnson Medical School (United States))
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm, Spine: 21mm
Weight: 804g
ISBN: 9780750359627
ISBN 10: 0750359625
Series: IOP ebooks
Publication Date: 26 November 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1 Introduction to explainable and interpretable AI for physiological signals 2 Detection of automated imaging words within an incorporation of noted man-machine interface 3 Edge-implementation of electronic healthcare records for critical care unit 4 Accessing the mental health of children using electroencephalogram signals 5 Effective detection of emotions to access the mental state of an individual 6 Early warning system for Alzheimer’s disease detection in adults 7 Artificial intelligence for early detection of cardiovascular disease using electrocardiogram signals 8 Intelligent system for accessing the echocardiogram signals for cardiovascular applications 9 Detection of hypertension using multimodal sensor analytics 10 Transfer learning methods for physical action classification using electromyography 11 Motor imagery tasks classification in brain-computer interface systems 12 Drowsiness detection in intelligent systems 13 An assistive human-computer system for disabled person 14 Stress monitoring system 15 Specific organ (e.g. lung, kidney, liver) disease AI driven clinical diagnosis analysis

Smith Khare is an Assistant Professor in the SDU Applied AI and Data Science, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Denmark, and worked as a Postdoctoral researcher in the Aarhus University, Denmark. He received his doctoral degree in Electronics and Communication Engineering at the Indian Institute of Information Technology, Design and Manufacturing Jabalpur (IIITDMJ), India in 2022. He has authored more than 50+ research papers in various reputed international Journals such as IEEE Transactions. Smith is listed in the top 2% Scientist in the World (2023, 2024), according to Elsevier. Sachin Taran is an Assistant Professor in the Department of Electronics and Communication Engineering at Delhi Technical University, New Delhi, India. He has done postdoc research at the Nanyang Technological University (NTU) Singapore. His research interests include artificial intelligence, signal processing and time-frequency analysis. He is a fellow member of IETE, member of IANG and Associate Editor of Frontiers in Signal Processing. Since 2020, he has continuously awarded by Commendable Research Award in Delhi Technological University. He has authored more than 55+ research papers in various reputed international Journals and conferences. Ankush D. Jamthikar is a postdoctoral research associate in the Division of Cardiovascular Disease and Hypertension at Rutgers University, Robert Wood Johnson Medical School, New Jersey. He has authored over 50 international journal papers, conference proceedings, and book chapters, focusing on cardiovascular disease (CVD) and stroke risk stratification, as well as artificial intelligence. He serves as an editorial board member for AI in Health and a guest editor for the MDPI journal, while also acting as a peer reviewer for several high-impact journals. Jamthikar has an h-index of 24 and an i-index of 34, with over 1,300 citations to his work.