AI Medical Compendium

Evaluating Large Language Models for Extracting Social Determinants of Health in Substance Use Disorder Notes.

Studies in health technology and informatics May 21, 2026

Automated extraction of social determinants of health (SDoH) may support earlier identification of unmet social needs and inform substance use disorder (SUD) care. This study provides preliminary evidence that few-shot prompting improves large langua... read more

Evaluation over Generalist Large Language Models and Specialised Models for Clinical Risk Prediction.

Studies in health technology and informatics May 21, 2026

Large language models (LLMs) show promise in clinical applications but face accuracy limitations in disease risk prediction, especially for rare conditions. We evaluated ChatGPT and DeepSeek against task-specific models for cholangiocarcinoma (rare) ... read more

From Discharge Letters to Process Traces with LLMs: A Human-in-the-Loop Pipeline.

Studies in health technology and informatics May 21, 2026

We present a modular human-in-the-loop pipeline that converts unstructured discharge letters into process-mining-ready event traces. The pipeline uses task-specific Large Language Model prompting to extract temporally ordered clinical events, followe... read more

Quantifying Fidelity and Utility in Synthetic Healthcare Data.

Studies in health technology and informatics May 21, 2026

The scarcity of high-quality clinical datasets and strict privacy regulations remain major barriers to developing robust predictive models in healthcare. Generative models offer a promising solution by producing synthetic data (SD) that replicate rea... read more

CUI-Curate: A Framework for Automated Clinical Concept Selection from the Unified Medical Language System.

Studies in health technology and informatics May 21, 2026

INTRODUCTION: Manual construction of UMLS concept sets is time-consuming and inconsistent across users. METHODS: CUI-Curate, a GPT-5 and graph-based retrieval framework, was developed to automate clinical concept set generation from UMLS source vocab... read more

Towards a ModernBERT Model Adapted to the Biomedical Domain in Italian.

Studies in health technology and informatics May 21, 2026

We present bio-modernbert-ita, a domain-adapted Italian Modern-BERT model specialized for biomedical text. Given the scarcity of biomedical Italian data, we translated 22 million PubMed abstracts to obtain our training corpus. We then continued pre-t... read more

Extracting Clinical Recommendations from Oncology Guidelines: An Exploratory Comparison of Automated Approaches.

Studies in health technology and informatics May 21, 2026

Recommendations from clinical practice guidelines are crucial for increasing patient care. We compare LLM/VLM-based extraction approaches against a rule set baseline. The results show that most recommendations can be extracted, but potential risk for... read more

Assessing Clinical Decision-Making Aided by a RAG-Based Dialog in Pre-Examination on Non-Odontogenic Tooth Pain.

Studies in health technology and informatics May 21, 2026

Differentiating Non-Odontogenic Tooth Pain, a potential symptom of life-threatening conditions like Ischemic Heart Disease, is a critical challenge for dentists, as existing AI tools fail to support their decision-making. To address this, we develope... read more

Ontology-Enriched Guidelines Retrieval for Complex Rheumatological Cases.

Studies in health technology and informatics May 21, 2026

Large language models (LLMs) integrated with Retrieval-Augmented Generation (RAG) can enhance clinical decision support and triage. However, semantic retrieval often fails to capture the structured relationships of medical knowledge, especially in co... read more

Transforming Annotated Clinical Narratives into Pruned Interoperable Knowledge Graphs with SNOMED CT.

Studies in health technology and informatics May 21, 2026

INTRODUCTION: Clinical narratives are difficult to process due to unstructured text, abbreviations, and jargon, which limit semantic interoperability. Converting them into knowledge graphs (KGs) and pruning SNOMED CT enables focused, interoperable re... read more

Artificial Intelligence Medical Compendium

Evaluating Large Language Models for Extracting Social Determinants of Health in Substance Use Disorder Notes.

Evaluation over Generalist Large Language Models and Specialised Models for Clinical Risk Prediction.

From Discharge Letters to Process Traces with LLMs: A Human-in-the-Loop Pipeline.

Quantifying Fidelity and Utility in Synthetic Healthcare Data.

CUI-Curate: A Framework for Automated Clinical Concept Selection from the Unified Medical Language System.

Towards a ModernBERT Model Adapted to the Biomedical Domain in Italian.

Extracting Clinical Recommendations from Oncology Guidelines: An Exploratory Comparison of Automated Approaches.

Assessing Clinical Decision-Making Aided by a RAG-Based Dialog in Pre-Examination on Non-Odontogenic Tooth Pain.

Ontology-Enriched Guidelines Retrieval for Complex Rheumatological Cases.

Transforming Annotated Clinical Narratives into Pruned Interoperable Knowledge Graphs with SNOMED CT.

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