activity
20232025
most citedSynthetic4Health: Generating Annotated Synthetic Clinical Letters

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs

Mingyang Li, Viktor Schlegel, Tingting Mu +2

Mapping clinical documents to standardised clinical vocabularies is an important task, as it provides structured data for information retrieval and analysis, which is essential to…

cs.AI2025

SynBench: A Benchmark for Differentially Private Text Generation

Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +9

Synthetic text generation with Differential Privacy (DP) guarantees emerges as a principled approach that can enable the sharing of sensitive datasets across institutional and regu…

cs.CL2025

Privacy-Preserving Generation of Clinical Narratives from Medical Terminologies

Yuping Wu, Viktor Schlegel, Warren Del-Pinto +11

In high-stakes domains such as healthcare, privacy concerns severely limit the use of real-world training data. Differentially private (DP) synthetic data offers a promising altern…

cs.LG2025

Evaluating Differentially Private Generation of Domain-Specific Text

Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +7

Generative AI offers transformative potential for high-stakes domains such as healthcare and finance, yet privacy and regulatory barriers hinder the use of real-world data. To addr…

cs.CL2024

DeIDClinic: A Risk-Aware Pseudonymization Framework for Clinical Text De-identification and Re-identification Risk Assessment

Angel Paul, Dhivin Shaji, Lifeng Han +3

The increasing availability of sensitive textual data has created an urgent need for robust de-identification methods that enable compliant data sharing while preserving downstream…

cs.CL2024★ 1 cited

Synthetic4Health: Generating Annotated Synthetic Clinical Letters

Libo Ren, Samuel Belkadi, Lifeng Han +2

Since clinical letters contain sensitive information, clinical-related datasets can not be widely applied in model training, medical research, and teaching. This work aims to gener…

cs.CL2023

Generating Medical Prescriptions with Conditional Transformer

Samuel Belkadi, Nicolo Micheletti, Lifeng Han +2

Access to real-world medication prescriptions is essential for medical research and healthcare quality improvement. However, access to real medication prescriptions is often limite…

cs.AI2023

Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters

Warren Del-Pinto, George Demetriou, Meghna Jani +7

Coding of unstructured clinical free-text to produce interoperable structured data is essential to improve direct care, support clinical communication and to enable clinical resear…