Autism Diagnosis : An Artificial Intelligence Approach

Santos, Wellington Pinheiro dos (EDT)/ Secco Fonseca, Flávio (EDT)/ Carneiro Gomes, Juliana (EDT)

CRC Press（2026/02発売）

• 製本 Hardcover:ハードカバー版／ページ数 200 p.
• 言語 ENG
• 商品コード 9781032851204

Full Description

The book provides the groundwork with an insightful exploration of the prevalence of ASD and the challenges associated with its early detection. Recognizing the limitations of existing diagnostic methods, the volume emphasizes the need for a multidisciplinary approach, utilizing the collective strengths of artificial intelligence, biomedical engineering, and applied neuroscience. This convergence promises not only to enhance diagnostic accuracy but also to streamline the process, facilitating timely interventions for improved treatment.

Contents

Preface. 1. Introductory Concepts of Neuroscience and Computational Intelligence. 2. Autism Spectrum Disorder: Overview and the Historical Path of Diagnosis. 3. Prevailing Diagnostic Scenario and the Importance of Early Detection. 4. Autism and the DIR/Floortime Model: A Counterpart to Approaches That do not Address Human Singularity. 5. Advanced Strategies for ASD Detection: A Narrative Review. 6. Enhancing EEG-Based ASD Detection Using Wavelet Transforms and Hybrid Deep Learning Models. 7. Advances in Differential Diagnosis of ASD: EEG Electrode Reduction with Machine Learning. 8. Innovations and Emerging Technologies in the Context of Autism Spectrum Disorders (ASD). 9. Unknown Intelligences: Artificial Intelligence, Autism, and the New Paths of Ethical Care.