Health Technology
The AI backbone powering healthcare clarity and computability.
How RosettaMD Understands Clinical Language
At the core of RosettaMD is a physician trained NLP engine that understands more than just words — it understands clinical meaning. It works in three precise steps.
Named Entity Recognition - Finds key terms in clinical narratives.
Semantic Interoperability Engine - Maps those terms to standard codes like ICD-10 and SNOMED.
Co-reference Resolution - Removes content with redundant meaning
This pipeline transforms free text into structured, actionable intelligence — quickly and reliably.
Two Outputs, One Engine: RosettaMD & RosettaCode
From a unstructured clinical narrative, HER-BERT delivers two powerful interpretations: RosettaMD offers clear, human_readable definitions for patients and families . RosettaCode delivers structured, machine readable data that is ready to power your population health solutions.
Together they ensure clarity for individuals and computability for institutions — unlocking the full potential of every medical narrative.
Structured Intelligence for Health Systems
Putting the MD into machine learning
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“Training HER-BERT was not by brute force, ... it was a pure act of LOVE”
Rosetta is powered by a specially trained semantic interoperability engine named HER-BERT.
HER-BERT’s competitive advantage turned out NOT to be a function of machine learning optimization, but was an exercise in our physician team’s development of the training corpus.
Instead of feeding if reams of poorly organized and disconnected data, we carefully curated a massive corpus of entailment pairs to teach the model semantic similarity.
HER-BERT powers a variety of semantic interoperability solutions:
Medical coding
NLP processing
Data normalization
Patient similarity
And more
This is where HER-BERT becomes healthcare’s most versatile AI engine—quietly powering systems behind the scenes.
HER-BERT in Action: End-to-End Semantic Transformation
From ambiguous input to precision output—this is HER-BERT’s full pipeline at work.
Whether it’s a clinical narrative, search query, or continuity of care document, HER-BERT applies deep semantic processing to extract, normalize, and map medical concepts across terminologies.
From the same patient note, it delivers accurate codes, NLP tags, cohort segmentation, FHIR resource mappings, and more—all in milliseconds.
This is how data moves in modern healthcare—with HER-BERT behind the wheel.
HER-BERT Outperforms Across the Board
HER-BERT isn’t just faster — it’s smarter.
Validated on the HERB benchmark, HER-BERT leads in both top-1 and top-5 accuracy, outperforming BioBERT, UAE-BERT, GPT-4, and GPT-3.5.
With lightning-fast 150ms response times and 20x the speed of GPT-4, it sets a new standard in medical NLP for real-time, clinical-grade performance.
This is precision at scale—engineered for deployment. it is, the way you tell your story online can make all the difference.
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