利用人工智能和 ML 预测自闭症谱系障碍。

IF 0.3 4区医学 Q4 ENGINEERING, BIOMEDICAL

IEEE Pulse Pub Date : 2024-09-01 DOI:10.1109/MPULS.2024.3443489

Leslie Mertz

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引用次数: 0

摘要

自闭症谱系障碍是一种展示人工智能（AI）和机器学习（ML）潜在用途的疾病。加利福尼亚州斯坦福大学儿科和生物医学数据科学教授丹尼斯-沃尔（Dennis Wall）博士认为，这是一个需求巨大的领域。"ASD 诊断需要更快、更公平、更量化的解决方案。这正是生物医学数据科学可以提供真正帮助的地方。

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Using AI and ML to Predict Autism Spectrum Disorder.

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.

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来源期刊

IEEE Pulse ENGINEERING, BIOMEDICAL-

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： IEEE Pulse covers both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.