使用 AI 和 ML 预测自闭症谱系障碍。

Using AI and ML to Predict Autism Spectrum Disorder.

出版信息

IEEE Pulse. 2024 Sep-Oct;15(3):11-15. doi: 10.1109/MPULS.2024.3443489.

DOI:10.1109/MPULS.2024.3443489

Abstract

Autism spectrum disorder is a condition that showcases the potential usefulness of artificial intelligence (AI) and machine learning (ML). This is an area of great need, according to Dennis Wall, Ph.D., professor of pediatrics and biomedical data science at Stanford University in California. "ASD diagnostics is crying out for a solution that's faster, more equitable, and more quantitative. This is where biomedical data science can really help,"he said.

摘要

自闭症谱系障碍是人工智能 (AI) 和机器学习 (ML) 具有潜在用途的一种病症。加州斯坦福大学儿科和生物医学数据科学教授 Dennis Wall 博士表示，这是一个非常需要解决的领域。“自闭症谱系障碍的诊断需要更快、更公平、更定量的解决方案。这正是生物医学数据科学真正能提供帮助的地方，”他说。