Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection
This paper presents a systematic review of the emerging applications of artificial intelligence (AI), Internet of Things (IoT), and sensor-based technologies in the diagnosis of autism spectrum disorder (ASD). The integration of these technologies has led to promising advances in identifying unique...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/1/34 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589414882082816 |
|---|---|
| author | Georgios Bouchouras Konstantinos Kotis |
| author_facet | Georgios Bouchouras Konstantinos Kotis |
| author_sort | Georgios Bouchouras |
| collection | DOAJ |
| description | This paper presents a systematic review of the emerging applications of artificial intelligence (AI), Internet of Things (IoT), and sensor-based technologies in the diagnosis of autism spectrum disorder (ASD). The integration of these technologies has led to promising advances in identifying unique behavioral, physiological, and neuroanatomical markers associated with ASD. Through an examination of recent studies, we explore how technologies such as wearable sensors, eye-tracking systems, virtual reality environments, neuroimaging, and microbiome analysis contribute to a holistic approach to ASD diagnostics. The analysis reveals how these technologies facilitate non-invasive, real-time assessments across diverse settings, enhancing both diagnostic accuracy and accessibility. The findings underscore the transformative potential of AI, IoT, and sensor-based driven tools in providing personalized and continuous ASD detection, advocating for data-driven approaches that extend beyond traditional methodologies. Ultimately, this review emphasizes the role of technology in improving ASD diagnostic processes, paving the way for targeted and individualized assessments. |
| format | Article |
| id | doaj-art-901b012a35a0410a915c14f2866d69d3 |
| institution | Kabale University |
| issn | 1999-4893 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj-art-901b012a35a0410a915c14f2866d69d32025-01-24T13:17:33ZengMDPI AGAlgorithms1999-48932025-01-011813410.3390/a18010034Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder DetectionGeorgios Bouchouras0Konstantinos Kotis1Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, GreeceIntelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, GreeceThis paper presents a systematic review of the emerging applications of artificial intelligence (AI), Internet of Things (IoT), and sensor-based technologies in the diagnosis of autism spectrum disorder (ASD). The integration of these technologies has led to promising advances in identifying unique behavioral, physiological, and neuroanatomical markers associated with ASD. Through an examination of recent studies, we explore how technologies such as wearable sensors, eye-tracking systems, virtual reality environments, neuroimaging, and microbiome analysis contribute to a holistic approach to ASD diagnostics. The analysis reveals how these technologies facilitate non-invasive, real-time assessments across diverse settings, enhancing both diagnostic accuracy and accessibility. The findings underscore the transformative potential of AI, IoT, and sensor-based driven tools in providing personalized and continuous ASD detection, advocating for data-driven approaches that extend beyond traditional methodologies. Ultimately, this review emphasizes the role of technology in improving ASD diagnostic processes, paving the way for targeted and individualized assessments.https://www.mdpi.com/1999-4893/18/1/34autism spectrum disorderartificial intelligenceInternet of Thingssensor-based technologiesnon-invasive diagnostics |
| spellingShingle | Georgios Bouchouras Konstantinos Kotis Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection Algorithms autism spectrum disorder artificial intelligence Internet of Things sensor-based technologies non-invasive diagnostics |
| title | Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection |
| title_full | Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection |
| title_fullStr | Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection |
| title_full_unstemmed | Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection |
| title_short | Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection |
| title_sort | integrating artificial intelligence internet of things and sensor based technologies a systematic review of methodologies in autism spectrum disorder detection |
| topic | autism spectrum disorder artificial intelligence Internet of Things sensor-based technologies non-invasive diagnostics |
| url | https://www.mdpi.com/1999-4893/18/1/34 |
| work_keys_str_mv | AT georgiosbouchouras integratingartificialintelligenceinternetofthingsandsensorbasedtechnologiesasystematicreviewofmethodologiesinautismspectrumdisorderdetection AT konstantinoskotis integratingartificialintelligenceinternetofthingsandsensorbasedtechnologiesasystematicreviewofmethodologiesinautismspectrumdisorderdetection |