Smt. Kishoritai Bhoyar College of Pharmacy, Kamptee, Nagpur, Maharashtra 441002, India.
Marwadi University Research Center, Department of Computer Engineering, Faculty of Engineering & Technology, Marwadi University, Rajkot, Gujarat 360003, India.
Asian J Psychiatr. 2024 Nov;101:104241. doi: 10.1016/j.ajp.2024.104241. Epub 2024 Sep 10.
The integration of artificial intelligence (AI) into the diagnosis and treatment of autism spectrum disorder (ASD) represents a promising frontier in healthcare. This review explores the current landscape and future prospects of AI technologies in ASD diagnostics and interventions. AI enables early detection and personalized assessment of ASD through the analysis of diverse data sources such as behavioural patterns, neuroimaging, genetics, and electronic health records. Machine learning algorithms exhibit high accuracy in distinguishing ASD from neurotypical development and other developmental disorders, facilitating timely interventions. Furthermore, AI-driven therapeutic interventions, including augmentative communication systems, virtual reality-based training, and robot-assisted therapies, show potential in improving social interactions and communication skills in individuals with ASD. Despite challenges such as data privacy and interpretability, the future of AI in ASD holds promise for refining diagnostic accuracy, deploying telehealth platforms, and tailoring treatment plans. By harnessing AI, clinicians can enhance ASD care delivery, empower patients, and advance our understanding of this complex condition.
人工智能（AI）在自闭症谱系障碍（ASD）的诊断和治疗中的融合代表了医疗保健领域的一个有前途的前沿领域。本综述探讨了 AI 技术在 ASD 诊断和干预方面的现状和未来前景。通过分析行为模式、神经影像学、遗传学和电子健康记录等多种数据源，AI 可以实现 ASD 的早期检测和个性化评估。机器学习算法在区分 ASD 与神经典型发育和其他发育障碍方面表现出很高的准确性，有助于及时进行干预。此外，AI 驱动的治疗干预措施，包括增强沟通系统、基于虚拟现实的训练和机器人辅助治疗，在改善 ASD 个体的社交互动和沟通技能方面显示出潜力。尽管存在数据隐私和可解释性等挑战，但 AI 在 ASD 中的未来有望提高诊断准确性、部署远程医疗平台和定制治疗计划。通过利用 AI，临床医生可以增强 ASD 的护理提供，赋予患者权力，并深入了解这种复杂的疾病。
