Andrew W. Brown

High Impact

Associate Professor

University of Arkansas for Medical Sciences

faculty

55 h-index 254 pubs 13,494 cited

Research Areas

Nutrition and Health in Aging Diet and metabolism studies Health disparities and outcomes Meta-analysis and systematic reviews Child and Adolescent Health Advanced Neural Network Applications Food composition and properties Health Literacy and Information Accessibility

Links

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OverviewAI-generated summary

Andrew W. Brown, an Associate Professor at the University of Arkansas for Medical Sciences, leads a research group focusing on advancing nutrition science and addressing health disparities. His work investigates the complexities of nutritional epidemiology, emphasizing the need for rigorous and informative research methods. Dr. Brown has published on the importance of valuing diverse research methodologies to improve the field of nutrition science and has contributed to roadmaps for ultra-processed foods and human health research in the United States.

His research also extends to methodological considerations in obesity and nutrition research, including the avoidance of errors in randomization implementation and analysis. Dr. Brown has explored the application of machine learning in nutrition research to support ethical AI principles. Furthermore, his recent publications address critical issues such as racial and skin color mediated disparities in pulse oximetry in infants and young children, and the publication of registered trial results. He collaborates with researchers including Simon Chung, Alexa Escapita, Sowmya Sivakumar, and Tara Johnson at the University of Arkansas for Medical Sciences. With a career marked by extensive scholarship, Dr. Brown has authored 254 publications, accumulating over 5,526 citations and an h-index of 33.

Metrics

h-index: 55
Publications: 254
Citations: 13,494

Selected Publications

Enhancing patient and parent education in pediatric ophthalmology using artificial intelligence: a report by the AAPOS Public Information Committee (2025) DOI
Concerns regarding the standard deviation of individual responses for assessing treatment response heterogeneity (2025) DOI
Enhancing Detection of Cerebral Palsy: Multimodal Developmental Assessments in High-Risk Infants (2025) DOI
Implementing Generative AI to Enhance Patient Education on Retinopathy of Prematurity (2025) DOI
Semilunar Valves in Pediatric Orthotopic Heart Transplants Grow at a Slower Rate than Controls (2025) DOI
No compelling evidence of sex differences in brain maturation during COVID-19 lockdowns when the sexes are compared statistically (2025) DOI
SPIRIT-CONSORT-TM: a corpus for assessing transparency of clinical trial protocol and results publications (2025) DOI
Leveraging large language models to improve patient education on dry eye disease (2024) DOI
Large language models: a new frontier in paediatric cataract patient education (2024) DOI
Perceptions and preferences for environmentally sustainable food and associated factors: a cross-sectional analysis of a nationally representative survey of United States consumers (2024) DOI
Guilt by association: Plant-based foods can be incorporated into both healthy and unhealthy plant-based diet indices associated with coronary heart disease (2024) DOI
Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study (2024) DOI
Ambiguity in Statistical Analysis Methods and Nonconformity With Prespecified Commitment to Data Sharing in a Cluster Randomized Controlled Trial (2024) DOI
Publication of Results of Registered Trials With Published Study Protocols, 2011-2022 (2024) DOI
Racial and skin color mediated disparities in pulse oximetry in infants and young children (2024) DOI