This AI Tool Turns 400 Informal Names Into Accurate OMOP Code
10 Feb 2026
Llettuce maps informal, patient-reported medication names to OMOP standard codes using local AI and vector search, outperforming existing tools.
Llettuce: The AI Tool Mapping Messy Medical Records to Standard Code
10 Feb 2026
Llettuce maps informal medical terms to OMOP standards using AI, vector search, and local LLMs, with a user-friendly interface for healthcare teams.
How This Open-Source AI Simplifies Mapping Healthcare Data
10 Feb 2026
Llettuce automates mapping informal medical terms to OMOP standard codes using AI and NLP, running locally for GDPR-compliant healthcare data.
Supervised Models for Clinical Text: Evaluating SVM and BERT Performance
1 Apr 2025
We performed a sentence-level classification using SVM and BERT. The entity-level annotation were converted to sentence-level.
Guidelines for Annotating Social Support and Social Isolation in Clinical Notes
1 Apr 2025
Annotators will annotate all mentions in a clinical note that indicate the presence (or absence) of present/past SI and SS.
Open-Source NLP Systems for Identifying Social Support and Isolation in Psychiatric Notes
1 Apr 2025
We offer two open-source NLP systems with different approaches, as well as a manual annotation guideline for identifying SS and SI.
NLP Performance in Clinical Notes: Addressing Data Limitations and System Overfitting
1 Apr 2025
There were insufficient instances in the notes of the emotional support subcategories to evaluate the NLP systems.
Natural Language Processing for Risk Assessment: Identifying SI/SS in Psychiatric Notes
1 Apr 2025
This study presents rule- and LLM-based NLP systems to identify fine-grained categories of SS and SI in clinical notes of psychiatric patients
Extracting Social Support and Isolation Info From Clinical Notes: Demo and System Performance
1 Apr 2025
The demographic characteristics of patients within the annotated cohort are detailed in Table 2.