![conference banner](/images/conference-banner.jpeg)
摘要
自闭症谱系障碍 (ASD) 是一种神经发育疾病,影响着全世界大约 70 名(范围 1:59 – 1:89)儿童中的 1 名。它的特点是认知能力的延迟、重复和受限的行为以及沟通和社交互动的缺陷。有几个因素似乎与 ASD 的发展有关;它的异质性使得诊断变得困难和缓慢,因为它主要基于专注于陈规定型和重复行为、步态、面部表情和言语评估的筛查工具。最近,人工智能 (AI) 已被广泛用于研究 ASD,其总体目标是简化和加快诊断过程,并使早期获得治疗成为可能。本综述的目的是概述 ASD 领域的最新研究,识别和描述 ASD 文献中的机器学习 (ML) 方法,临床医生可以使用这些方法来提高诊断能力和治疗效率.进行了系统搜索,所得文章被细分为几个类别,反映了与 ASD 研究相关的不同研究领域。现有文献已广泛证明了 ML 在多种类型的 ASD 研究分析中的潜力:行为、步态、言语、面部表情、神经影像学、遗传学和代谢组学。因此,人工智能技术正越来越多地被实施和接受,从而凸显了机器学习方法从大量数据中提取和获取知识的能力。这使得 ML 成为未来 ASD 研究和临床努力的有前途的工具,为改进 ASD 筛查、诊断和治疗工具提供了可能的途径。
关键词: 自闭症、自闭症谱系障碍、微生物组、代谢组、人工智能、机器学习、多组学。
Current Medicinal Chemistry
Title:Artificial Intelligence: the “Trait D’Union” in Different Analysis Approaches of Autism Spectrum Disorder Studies
Volume: 28 Issue: 32
关键词: 自闭症、自闭症谱系障碍、微生物组、代谢组、人工智能、机器学习、多组学。
摘要:
Autistic Spectrum Disorder (ASD) is a neurodevelopmental condition affecting approximately 1 out of 70 (range 1:59 – 1:89) children worldwide. It is characterized by a delay in cognitive capabilities, repetitive and restricted behaviors and deficit in communication and social interaction. Several factors seem to be associated with ASD development; its heterogeneous nature makes the diagnosis difficult and slow since it is essentially based on screening tools focused on stereotypical and repetitive behaviors, gait, facial emotion expression and speech assessments.
Recently, artificial intelligence (AI) has been widely used to investigate ASD with the overall goal of simplifying and speeding up the diagnostic process as well as making earlier access to therapies possible. The aim of this review is to provide an overview of the state-of-the-art research in the ASD field, identifying and describing machine learning (ML) approaches in ASD literature that could be used by clinicians to improve diagnostic capability and treatment efficiency. A systematic search was conducted and the resulting articles were subdivided into several categories reflecting the different fields of study associated with ASD research. The existing literature has widely demonstrated the potential of ML in several types of ASD study analyses: behavior, gait, speech, facial emotion expression, neuroimaging, genetics, and metabolomics. Therefore, AI techniques are becoming increasingly implemented and accepted, so highlighting the power of ML approaches to extract and obtain knowledge from a large volume of data. This makes ML a promising tool for future ASD research and clinical endeavors suggesting possible avenues for improving ASD screening, diagnostic and therapeutic tools.
Export Options
About this article
Cite this article as:
Artificial Intelligence: the “Trait D’Union” in Different Analysis Approaches of Autism Spectrum Disorder Studies, Current Medicinal Chemistry 2021; 28 (32) . https://dx.doi.org/10.2174/0929867328666210203205221
DOI https://dx.doi.org/10.2174/0929867328666210203205221 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
Call for Papers in Thematic Issues
Advances in Medicinal Chemistry: From Cancer to Chronic Diseases.
The broad spectrum of the issue will provide a comprehensive overview of emerging trends, novel therapeutic interventions, and translational insights that impact modern medicine. The primary focus will be diseases of global concern, including cancer, chronic pain, metabolic disorders, and autoimmune conditions, providing a broad overview of the advancements in ...read more
Approaches to the Treatment of Chronic Inflammation
Chronic inflammation is a hallmark of numerous diseases, significantly impacting global health. Although chronic inflammation is a hot topic, not much has been written about approaches to its treatment. This thematic issue aims to showcase the latest advancements in chronic inflammation treatment and foster discussion on future directions in this ...read more
Cellular and Molecular Mechanisms of Non-Infectious Inflammatory Diseases: Focus on Clinical Implications
The Special Issue covers the results of the studies on cellular and molecular mechanisms of non-infectious inflammatory diseases, in particular, autoimmune rheumatic diseases, atherosclerotic cardiovascular disease and other age-related disorders such as type II diabetes, cancer, neurodegenerative disorders, etc. Review and research articles as well as methodology papers that summarize ...read more
Chalcogen-modified nucleic acid analogues
Chalcogen-modified nucleosides, nucleotides and oligonucleotides have been of great interest to scientific research for many years. The replacement of oxygen in the nucleobase, sugar or phosphate backbone by chalcogen atoms (sulfur, selenium, tellurium) gives these biomolecules unique properties resulting from their altered physical and chemical properties. The continuing interest in ...read more
![Wayfinder Image](/images/wayfinder.jpg)
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
The Connections Among Autophagy, Inflammasome and Mitochondria
Current Drug Targets Pharmacological Investigation of Anticonvulsant Effect of Artemisia Vulgaris on Pentylenetetrazole-Induced Epileptic Seizures in Zebrafish Experimental Model
Current Drug Therapy Utilizing Ultrasound to Transiently Increase Blood-Brain Barrier Permeability, Modulate of the Tight Junction Proteins, and Alter Cytoskeletal Structure
Current Neurovascular Research Molecular Imaging of Neuropsychiatry and Boron Neutron Capture Therapy in Neuro-oncology
Current Molecular Imaging (Discontinued) Hyperuricemia: Is it a Risk Factor for Vascular Endothelial Dysfunction and Associated Cardiovascular Disorders?
Current Hypertension Reviews Serial femtosecond crystallography opens new avenues for Structural Biology
Protein & Peptide Letters Multimodality Imaging of CXCR4 in Cancer: Current Status towards Clinical Translation
Current Molecular Medicine Lanthionine Synthetase Component C-Like Protein 2: A New Drug Target for Inflammatory Diseases and Diabetes
Current Drug Targets Cardiovascular Alterations After Spinal Cord Injury: An Overview
Current Medicinal Chemistry - Cardiovascular & Hematological Agents Antileukotriene Treatment in Children with Asthma - New Patents
Recent Patents on Inflammation & Allergy Drug Discovery Family B G Protein-coupled Receptors and their Ligands: From Structure to Function
Current Medicinal Chemistry Processed Foods, Dysbiosis, Systemic Inflammation, and Poor Health
Current Nutrition & Food Science Applications of Lentiviral Vectors for Biology and Gene Therapy of Neurological Disorders
Current Gene Therapy Zamzam Water Mitigates Cardiac Toxicity Risk through Modulation of GUT Microbiota and the Renin-angiotensin System
Current Pharmaceutical Design Diabetic Gastroenteropathy: Soothe the Symptoms or Unravel a Cure?
Current Diabetes Reviews Vagus Nerve Stimulation as a Treatment for Refractory Epilepsy: A 15-Year Experience in an Italian Tertiary – Care Epilepsy Center
Letters in Drug Design & Discovery Damnacanthal-Induced Anti-Inflammation is Associated with Inhibition of NF-κB Activity
Inflammation & Allergy - Drug Targets (Discontinued) A Review of Nanocarrier-Based CNS Delivery Systems
Current Drug Delivery Human Lipoxygenase: Developments in its Structure, Function, Relevance to Diseases and Challenges in Drug Development
Current Medicinal Chemistry Glutamate Hypothesis of Schizophrenia and Approach for Possible Therapeutic Drugs
Current Medicinal Chemistry - Central Nervous System Agents