Leveraging and Harnessing Generative Artificial Intelligence to Mitigate the Burden of Neurodevelopmental Disorders
1Department of Health Sciences, School of Public Health and Health Sciences, California State University, Dominguez Hills, Carson, CA 90747, USA.
Insights
Generative Artificial Intelligence (GenAI) can significantly improve early identification and diagnosis of neurodevelopmental disorders (NDDs). Strategic use of GenAI enhances personalized treatments and accelerates research, reducing associated mortality and morbidity.
Area of Science:
- Pediatric Neurology
- Artificial Intelligence in Healthcare
- Developmental Psychology
Background:
- Neurodevelopmental disorders (NDDs) present significant challenges in early identification, diagnosis, and treatment.
- Overlapping symptoms, lack of biomarkers, stigma, and systemic barriers complicate NDD management.
- Existing healthcare systems struggle to provide timely and effective care for affected children and families.
Purpose of the Study:
- To explore the transformative potential of Generative Artificial Intelligence (GenAI) in neurodevelopmental disorder management.
- To highlight how GenAI can address current challenges in NDD screening, diagnosis, and treatment.
- To advocate for policy changes integrating GenAI into NDD care systems.
Main Methods:
- Review of current applications and potential future uses of GenAI in NDD management.
- Analysis of GenAI's impact on diagnostic efficiency, treatment personalization, and research acceleration.
- Discussion of the benefits of GenAI for early identification, clinical decision support, and family support.
Main Results:
- GenAI can enhance early identification and screening for NDDs.
- GenAI may reduce diagnostic processing times by up to 90% and improve clinical decision support.
- Personalized therapy regimens using GenAI show significant improvements in attention measures (36%) and accuracy (81-84%) compared to clinician plans.
- GenAI accelerates research, customizes learning materials, and improves treatment monitoring and family support.
Conclusions:
- GenAI offers powerful solutions to improve the identification, diagnosis, and treatment of NDDs.
- Strategic integration of GenAI can lead to more individualized and effective care, reducing NDD-related mortality and morbidity.
- Policy initiatives are crucial to facilitate the widespread adoption of GenAI in NDD management.
Abstract:
Neurodevelopmental disorders (NDDs) significantly impact children's health and development. They pose a substantial burden to families and the healthcare system. Challenges in early identification, accurate and timely diagnosis, and effective treatment persist due to overlapping symptoms, lack of appropriate diagnostic biomarkers, significant stigma and discrimination, and systemic barriers. Generative Artificial Intelligence (GenAI) offers promising solutions to these challenges by enhancing screening, diagnosis, personalized treatment, and research. Although GenAI is already in use in some aspects of NDD management, effective and strategic leveraging of evolving AI tools and resources will enhance early identification and screening, reduce diagnostic processing by up to 90%, and improve clinical decision support. Proper use of GenAI will ensure individualized therapy regimens with demonstrated 36% improvement in at least one objective attention measure compared to baseline and 81-84% accuracy relative to clinician-generated plans, customize learning materials, and deliver better treatment monitoring. GenAI will also accelerate NDD-specific research and innovation with significant time savings, as well as provide tailored family support systems. Finally, it will significantly reduce the mortality and morbidity associated with NDDs. This article explores the potential of GenAI in transforming NDD management and calls for policy initiatives to integrate GenAI into NDD management systems.
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