High-Throughput Phenotyping of the Symptoms of Alzheimer Disease and Related Dementias Using Large Language Models: Cross-Sectional Study
JMIR AI2025Vol. 4, pp. e66926–e66926
Citations Over TimeTop 10% of 2025 papers
You Cheng, Mrunal Malekar, Yingnan He, Apoorva Bommareddy, Colin Magdamo, Arjun Singh, M. Brandon Westover, Shibani S. Mukerji, John R. Dickson, Sudeshna Das
Abstract
These results highlight the accuracy and reliability of our high-throughput ADRD phenotyping algorithm. By enabling automated symptom extraction, our approach has the potential to assist with differential diagnosis, as well as facilitate clinical trials and research studies of dementia.
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