Nature

Automated RECIST tumor response classification through prompt-guided large language models

This study investigates whether an entirely offline, general-purpose large language model (LLM) can reliably automate the classification of routine radiology reports according to RECIST (Response ...
Nature

Multilabel classification for defect prediction in software engineering

With advancements in software development and artificial intelligence, defect prediction has gradually become an essential component of the software development lifecycle. Historically, defect ...
ascopubs.org

Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models

Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study We analyzed 21,364 pathology reports ...
ascopubs.org

Large Language Model–Based Classification of Case Report Abstracts: A Pilot Study on Interactions Between Radiotherapy and Systemic Therapies

Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multicancer Cohort The growing volume of biomedical literature, especially in oncology, necessitates automated tools for ...