4 papers
Privacy-Preserving Local Language Models for Longitudinal Data Retrieval in Chronic Dermatologic Disease: Implementation in Pemphigus Patients
Abdurrahim Yilmaz, AyÅe Esra Koku Aksu, Duygu Yamen +5
Chronic dermatologic diseases such as pemphigus require long-term follow-up, generating extensive longitudinal clinical documentation that is difficult to review comprehensively du…
MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis
Marc Boubnovski Martell, Kristofer Linton-Reid, Mitchell Chen +6
High-resolution volumetric computed tomography (CT) is essential for accurate diagnosis and treatment planning in thoracic diseases; however, it is limited by radiation dose and ha…
DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets
Abdurrahim Yilmaz, Furkan Yuceyalcin, Ece Gokyayla +8
A major barrier to developing vision large language models (LLMs) in dermatology is the lack of large image--text pairs dataset. We introduce DermaSynth, a dataset comprising of 92…
KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reports
Hajung Kim, Chanhwi Kim, Jiwoong Sohn +8
The objective of BioCreative8 Track 3 is to extract phenotypic key medical findings embedded within EHR texts and subsequently normalize these findings to their Human Phenotype Ont…