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Multimodal AI Blog

Visual NLP 3.3 enables DICOM de-identification at scale with DicomToImageV3 and DicomDrawRegions for secure medical imaging workflows.

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Digital pathology is generating data faster than most healthcare organizations can safely share it. A single whole-slide image (WSI) can weigh in at several gigabytes, and every one of them...

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...

A radiology AI team has 5,000 chest X-rays ready to annotate. The images sit in the hospital's imaging archive, stored the way every radiology department stores them: as DICOM files. ...

Most annotation platforms restrict teams to a single LLM provider. For healthcare and life sciences organizations, this creates compliance risk, cost inefficiency, and limits the use of domain-specific models required...
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