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ASH 2025 | Unstructured serum electrophoresis data limits real-world AI models in multiple myeloma
Ehsan Malek, MD, Roswell Park Comprehensive Cancer Center, Buffalo, NY, discusses an evaluation of 384 institutions across the United States that found that unstructured serum electrophoresis data limits the development of real-world artificial intelligence (AI) models for multiple myeloma (MM). Of the 1,725 patients included in the analysis, 950 (55.1%) had at least one coded M-protein value recorded, and only 360 (20.9%) had a coded value recorded within a 3-month window near their myeloma diagnosis. Dr Malek notes that this issue can be addressed by pathology departments converting text-embedded values to discrete lab values to provide data compatible with AI model training. This interview took place at the 67th ASH Annual Meeting and Exposition, held in Orlando, FL.
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