Small Language Models at the Point of Care
Compact, fine-tuned models running on local or edge infrastructure.
SLMs make it possible to run clinically fine-tuned models inside a hospital network boundary, avoiding the data-residency and latency problems of calling out to a frontier model API.
Sequencing
Builds on Evaluation-Driven Clinical AI
Small Language Models across other industries
Compact, fine-tuned models for narrow, high-volume tasks — the primary inference-cost lever.
Small Language Models (SLMs)
Purpose-built, cheaper models for narrow, high-volume tasks.
Small Language Models for Compliance Triage
Fine-tuned compact models for high-volume, narrow compliance classification tasks.
Small Language Models for Technician Support
Compact, fine-tuned models running on-site to guide maintenance technicians.
Small Language Models for In-Store Assistants
Compact, fine-tuned models running on in-store devices and kiosks.
From the Healthcare & Life Sciences Emerging Technology & Innovation Radar, Edition 2026.1, published 2026-10-01.
An independent, industry-agnostic radar curated by Shailesh Kumar.