Call for Chapters: Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning

Editors

Rohit Bansal, Adjunct Faculty, Stanford Institute of Management & Technology, Australia, India
Tariq Maqableh, Lecturer, Charles Sturt University, Sydney, Australia
Gunjan Shuklaa, Principal, SICA College, Indore, India
Fazla Rabby, Director, Stanford Institute of Management and Technology, Sydney, Australia
REMYA LATHABHAVAN, Indian Institute of Management Bodh Gaya, India

Call for Chapters

Proposals Submission Deadline: September 27, 2024
Full Chapters Due: December 20, 2024
Submission Date: December 20, 2024

Introduction

The convergence of Artificial Intelligence (AI) and machine learning represents a significant advancement in understanding and addressing neurological and psychological conditions. Artificial Intelligence (AI) and Machine Learning (ML) are transforming neuropsychology and cognitive psychology by providing new tools and methodologies for research, diagnosis, and treatment. The role of Artificial Intelligence (AI) in neuropsychology is multifaceted, enhancing various aspects of research, diagnosis, treatment, and overall understanding of the brain and its functions. AI can develop and administer neuropsychological tests that are adaptive and can tailor difficulty based on real-time responses, providing more accurate and efficient assessments. Further, AI algorithms can automate the scoring of neuropsychological tests and provide detailed interpretations, reducing human error and increasing consistency. AI can analyze subtle patterns in test performance that might indicate early signs of cognitive decline, potentially identifying conditions like Alzheimer’s disease much earlier than traditional methods. Machine learning models can predict the onset and progression of diseases by analyzing historical and real-time patient data, enabling earlier and more accurate diagnoses. Further, Machine learning algorithms can adapt therapeutic interventions in real-time based on patient responses, optimizing cognitive-behavioral therapy (CBT) and other treatment modalities. ML can analyze data from smartphones and wearable devices to assess cognitive and emotional states continuously, providing a more comprehensive picture of a patient's condition outside of clinical settings. Machine learning techniques can analyze functional connectivity in the brain, helping to identify networks involved in various cognitive processes and how they are disrupted in different disorders.

Objective

The proposed book aims to highlight the synergies between these fields and explore innovative applications, methodologies, and future prospects. This book will serve as a comprehensive resource for the latest advancements in AI algorithms and Machine Learning within neuropsychology and cognitive psychology. It will provide a platform for sharing innovative research, addressing challenges, and shaping the future of neuropsychological and cognitive psychology practices through AI and Machine Learning.

Target Audience

Primary Market: Academic Researchers, Undergraduate & Postgraduate Students, Mental Health Practitioners Secondary Market: Industry Researchers, Non-Government and Government Organizations

Recommended Topics

• Introduction to AI and Machine Learning in Neuropsychology and Cognitive Psychology • AI-Enhanced Neuropsychological Assessment • AI in Neuroimaging and Brain Analysis • Machine learning applications in neuroimaging • AI-powered cognitive rehabilitation techniques • Use of virtual reality (VR) and AI in therapeutic settings • Development of AI-driven chatbots and virtual assistants for mental health support • Ethical implications of AI and machine learning in clinical decision-making • Integration of AI with machine learning for neuropsychological applications • AI algorithms for early detection of cognitive impairments • Training neuropsychologists and cognitive psychologists with AI tools. • Cognitive Behavioral Therapy (CBT) and Machine Learning • Machine Learning in Neuropsychological Assessments • Predicting the future landscape of clinical psychology with Machine Learning • Predictive analytics and personalized approaches in neuropsychological care .

Submission Procedure

Researchers and practitioners are invited to submit on or before September 27, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by October 11, 2024 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by December 20, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

September 27, 2024: Proposal Submission Deadline
October 11, 2024: Notification of Acceptance
December 20, 2024: Full Chapter Submission
January 31, 2025: Review Results Returned
February 28, 2025: Final Acceptance Notification
March 7, 2025: Final Chapter Submission



Inquiries

Rohit Bansal
Adjunct Faculty, Stanford Institute of Management & Technology, Australia
rohit.bansal@simt.com.au

Tariq Maqableh
Lecturer, Charles Sturt University, Sydney
Tariqmagableh@hotmail.com

Gunjan Shuklaa
Principal, SICA College, Indore
dr.gunjanshukla1@gmail.com

Fazla Rabby
Director, Stanford Institute of Management and Technology, Sydney
rabbyfazla@hotmail.com

REMYA LATHABHAVAN
Assistant Professor, Indian Institute of Management, Bodh Gaya
remyalathabhavan@gmail.com



Classifications


Business and Management; Computer Science and Information Technology; Medicine and Healthcare; Social Sciences and Humanities
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