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Transforming neuropsychology and cognitive psychology with AI and machine learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transforming neuropsychology and cognitive psychology with AI and machine learning/ Rohit Bansal, Tariq Maqableh, Gunjan Shuklaa, Fazla Rabby, Remya Lathabhavan, editors.
remainder title:	Transforming neuropsychology and cognitive psychology with artificial intelligence and machine learning
other author:	Lathabhavan, Remya.
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (xx, 558 p.) :ill.
[NT 15003449]:	Preface -- Chapter 1. Cognitive Behavioral Therapy (CBT) and Machine Learning (ML) -- Chapter 2. AI-Enhanced Neurophysiological Assessment -- Chapter 3. AI-Powered Breakthroughs: Revolutionizing Cognitive Psychology and Neuropsychology With Machine Learning -- Chapter 4. Integration of AI With ML for Neuropsychological Applications -- Chapter 5. Transforming Minds AI and Machine Learning Applications in Cognitive Neuroscience -- Chapter 6. Leveraging Artificial Intelligence in Neuropsychological Assessment: Transforming Employee Selection and Performance Evaluation -- Chapter 7. AI Algorithms for Early Detection of Cognitive Impairments -- Chapter 8. AI in Neuroimaging and Brain Analysis -- Chapter 9. Hey Friend I Am a Spiritual Robot! How May I Help You!: Integrating Spiritual Robotics in College Counseling -- Chapter 10. Development of AI- and NLP-Driven Chatbots and Virtual Assistants for Mental Health Support -- Chapter 11. NeuroSymphony: AI-Tailored Music for Cognitive and Emotional States -- Chapter 12. Predictive Analysis of Medicinal Plants for Central Nervous System Diseases Using Machine Learning -- Chapter 13. Predictive Analytics in Clinical Psychology: Role of Machine Learning in Future Mental Health Care -- Chapter 14. Machine Learning for Combating Mental Health Stigma -- Chapter 15. Use of Virtual Reality (VR) and AI in Therapeutic Settings -- Chapter 16. Enhancing ADHD Support Through a Human-AI Collaboration Framework: Integrating AI-Driven Assessments and Post-Therapy Mentorship -- Chapter 17. Exploring the Association Between Caregiving Activities and Neuropsychological Disorders: Deep Learning Model and Emerging Solutions -- Chapter 18. Developments, Hardships, and Prospective Directions in the Field of Neuroscience and Neurological Machine Learning for Behavioral Evaluation -- Compilation of References -- About the Contributors -- Index.
Subject:	Neural networks (Computer science) -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-9341-3
ISBN:	9798369393437

Transforming neuropsychology and cognitive psychology with AI and machine learning
Transforming neuropsychology and cognitive psychology with AI and machine learning[electronic resource] /Transforming neuropsychology and cognitive psychology with artificial intelligence and machine learningRohit Bansal, Tariq Maqableh, Gunjan Shuklaa, Fazla Rabby, Remya Lathabhavan, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xx, 558 p.) :ill. - Advances in psychology, mental health, and behavioral studies (APMHBS) book series. - Advances in psychology, mental health, and behavioral studies (APMHBS) book series..

Includes bibliographic references and index.

Preface -- Chapter 1. Cognitive Behavioral Therapy (CBT) and Machine Learning (ML) -- Chapter 2. AI-Enhanced Neurophysiological Assessment -- Chapter 3. AI-Powered Breakthroughs: Revolutionizing Cognitive Psychology and Neuropsychology With Machine Learning -- Chapter 4. Integration of AI With ML for Neuropsychological Applications -- Chapter 5. Transforming Minds AI and Machine Learning Applications in Cognitive Neuroscience -- Chapter 6. Leveraging Artificial Intelligence in Neuropsychological Assessment: Transforming Employee Selection and Performance Evaluation -- Chapter 7. AI Algorithms for Early Detection of Cognitive Impairments -- Chapter 8. AI in Neuroimaging and Brain Analysis -- Chapter 9. Hey Friend I Am a Spiritual Robot! How May I Help You!: Integrating Spiritual Robotics in College Counseling -- Chapter 10. Development of AI- and NLP-Driven Chatbots and Virtual Assistants for Mental Health Support -- Chapter 11. NeuroSymphony: AI-Tailored Music for Cognitive and Emotional States -- Chapter 12. Predictive Analysis of Medicinal Plants for Central Nervous System Diseases Using Machine Learning -- Chapter 13. Predictive Analytics in Clinical Psychology: Role of Machine Learning in Future Mental Health Care -- Chapter 14. Machine Learning for Combating Mental Health Stigma -- Chapter 15. Use of Virtual Reality (VR) and AI in Therapeutic Settings -- Chapter 16. Enhancing ADHD Support Through a Human-AI Collaboration Framework: Integrating AI-Driven Assessments and Post-Therapy Mentorship -- Chapter 17. Exploring the Association Between Caregiving Activities and Neuropsychological Disorders: Deep Learning Model and Emerging Solutions -- Chapter 18. Developments, Hardships, and Prospective Directions in the Field of Neuroscience and Neurological Machine Learning for Behavioral Evaluation -- Compilation of References -- About the Contributors -- Index.

"The integration of artificial intelligence and machine learning into neuropsychology and cognitive psychology is revolutionizing how we understand, diagnose, and treat neurological and psychological conditions. By leveraging advanced algorithms, these technologies enable earlier detection of cognitive decline, more precise diagnoses, and personalized therapeutic interventions. They enhance the accuracy of neuropsychological assessments, automate scoring proces." -- Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9798369393437Subjects--Topical Terms:

532070
Neural networks (Computer science)
Subjects--Index Terms:

AI-Driven Assessments.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.87 / .T73 2025eb

Dewey Class. No.: 006.32

Transforming neuropsychology and cognitive psychology with AI and machine learning
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246 3 $a Transforming neuropsychology and cognitive psychology with artificial intelligence and machine learning
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2025.
300 $a 1 online resource (xx, 558 p.) : $b ill.
490 1 $a Advances in psychology, mental health, and behavioral studies (APMHBS) book series
504 $a Includes bibliographic references and index.
505 0 $a Preface -- Chapter 1. Cognitive Behavioral Therapy (CBT) and Machine Learning (ML) -- Chapter 2. AI-Enhanced Neurophysiological Assessment -- Chapter 3. AI-Powered Breakthroughs: Revolutionizing Cognitive Psychology and Neuropsychology With Machine Learning -- Chapter 4. Integration of AI With ML for Neuropsychological Applications -- Chapter 5. Transforming Minds AI and Machine Learning Applications in Cognitive Neuroscience -- Chapter 6. Leveraging Artificial Intelligence in Neuropsychological Assessment: Transforming Employee Selection and Performance Evaluation -- Chapter 7. AI Algorithms for Early Detection of Cognitive Impairments -- Chapter 8. AI in Neuroimaging and Brain Analysis -- Chapter 9. Hey Friend I Am a Spiritual Robot! How May I Help You!: Integrating Spiritual Robotics in College Counseling -- Chapter 10. Development of AI- and NLP-Driven Chatbots and Virtual Assistants for Mental Health Support -- Chapter 11. NeuroSymphony: AI-Tailored Music for Cognitive and Emotional States -- Chapter 12. Predictive Analysis of Medicinal Plants for Central Nervous System Diseases Using Machine Learning -- Chapter 13. Predictive Analytics in Clinical Psychology: Role of Machine Learning in Future Mental Health Care -- Chapter 14. Machine Learning for Combating Mental Health Stigma -- Chapter 15. Use of Virtual Reality (VR) and AI in Therapeutic Settings -- Chapter 16. Enhancing ADHD Support Through a Human-AI Collaboration Framework: Integrating AI-Driven Assessments and Post-Therapy Mentorship -- Chapter 17. Exploring the Association Between Caregiving Activities and Neuropsychological Disorders: Deep Learning Model and Emerging Solutions -- Chapter 18. Developments, Hardships, and Prospective Directions in the Field of Neuroscience and Neurological Machine Learning for Behavioral Evaluation -- Compilation of References -- About the Contributors -- Index.
520 3 $a "The integration of artificial intelligence and machine learning into neuropsychology and cognitive psychology is revolutionizing how we understand, diagnose, and treat neurological and psychological conditions. By leveraging advanced algorithms, these technologies enable earlier detection of cognitive decline, more precise diagnoses, and personalized therapeutic interventions. They enhance the accuracy of neuropsychological assessments, automate scoring proces." -- Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a Artificial intelligence. $3 516317
650 0 $a Machine learning. $3 533906
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650 0 $a Cognitive psychology. $3 523881
653 $a AI-Driven Assessments.
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653 $a College Counseling.
653 $a Deep Learning.
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653 $a Human-AI Collaboration.
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653 $a Medicinal Plants.
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653 $a Natural Language Processing (NLP)
653 $a Neuroimaging.
653 $a Neuropsychology.
653 $a Performance Evaluation.
653 $a Post-Therapy Mentorship.
653 $a Spiritual Robotics.
653 $a Virtual Reality (VR)
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700 1 $a Lathabhavan, Remya. $3 3793424
700 1 $a Rabby, Fazla. $3 3793425
700 1 $a Shuklaa, Gunjan. $3 3793426
700 1 $a Maqableh, Tariq. $3 3793427
700 1 $a Bansal, Rohit. $3 3734807
710 2 $a IGI Global. $3 1361470
776 0 8 $i Print version: $z 9798369393413
830 0 $a Advances in psychology, mental health, and behavioral studies (APMHBS) book series. $3 3793428
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