AI service — AI Medical · Clinical language
Clinical reasoning assistant
Run a medical language model on your own corpus for clinical question answering, guideline retrieval and multi-turn consultation support.
Send us your data volume, throughput and latency targets and any constraint we should design around. You get a proposed configuration, a benchmark on your own data, and a known cost per unit of work before you commit.
A medical assistant is only as good as what it can see. These models run against your own guidelines, formulary and protocols, so answers come from your material rather than from whatever was in a training set, with the source passage cited alongside.
Questions arrive over your API or an internal interface and come back as text with citations. Model choice spans a 7B model on one card to a 70B model across several, and the difference in cost per answer is large enough to be a design decision rather than a detail.
Every output is clinical decision support, not a diagnosis: a qualified professional reviews and signs it. Where clinical use requires regulatory approval in your jurisdiction, that approval remains yours to hold — we provide the infrastructure, the model operations and the audit trail behind it.
What we size for
We build the clinical reasoning assistant pipeline around the workload you actually have: data format, accuracy target, latency, throughput, concurrency, retention and scheduling. Start with a pilot, then scale production capacity without changing a line of your integration.
Common use cases
- Guideline question answering — Answer clinical questions from your own protocols, with the passage cited.
- Documentation support — Draft and reason over clinical text as part of a wider pipeline.
- Multilingual services — Answer in the languages your clinicians and patients actually use.
More Clinical language services
- Medical visual question answeringMedical visual question answering service →
- Medical image retrievalMedical image retrieval service →
- Clinical text representationClinical text representation service →