Aleksei Zakharov is a Generative AI Lab Product Manager and Medical Expert at John Snow Labs, working at the intersection of healthcare, clinical NLP, and applied AI. Aleksei has extensive experience designing and deploying AI-driven solutions for real-world clinical data, including OMOP-based analytics frameworks, large-scale NLP pipelines, and human-in-the-loop annotation workflows. He brings a strong clinical perspective as a Medical Doctor specialized in Neurology, combined with hands-on expertise in Data Science and healthcare interoperability.
Healthcare AI deployment is constrained by where clinical data is allowed to move. A model that performs well in evaluation may still be unusable if its deployment requires external APIs,...
On the first day of a NER project, the model assisting the annotators knows clinical language but nothing about the project. It has not seen how this organization defines a...
Blind LLM evaluation compares model outputs without revealing which provider produced each response, reducing brand-name bias in human review. Healthcare teams use it when clinicians score candidate models on clinical...
Medical code resolution maps an entity extracted from clinical text to a concept in a standard terminology. For example, "type 2 diabetes mellitus without complications" maps to E11.9 in ICD-10-CM....
Why annotated datasets lose value when schemas change»: «A health system invests years building diagnosis extraction data, de-identification masksReusing clinical annotations across projects means importing existing labeled datasets into a...
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