INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems".
The test-time adaptation (TTA) of deep-learning-based semantic segmentation models, specific to individual patient data, was addressed in this study. The existing TTA methods in medical imaging are often unconstrained, require anatomical prior inform...
IEEE journal of biomedical and health informatics
Jun 1, 2025
Multilabel pathological tissue segmentation is a vital task in computational pathology that aims to semantically segment different tissues within pathological images. Fully and weakly supervised models have demonstrated impressive performances in thi...
Studies in health technology and informatics
May 15, 2025
Bridging diverse terminologies and ensuring precise information retrieval, semantic similarity in medical language is key to improve healthcare outcomes. Semantic similarity measures how closely pieces of text share the same meaning, a crucial elemen...
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) have gained significant popularity among healthcare professionals as tools for AI-driven interactions. These models can analyze large volumes of clinical data, including patient narratives, to assist in efficient decision...
Studies in health technology and informatics
May 15, 2025
SNOMED CT is a comprehensive controlled biomedical ontology widely used as an information exchange standard among various healthcare institutions. To ensure the unambiguous expression of health data and effective linguistic computation of word meanin...
Studies in health technology and informatics
May 12, 2025
We evaluated the performance of Semantic Clinical Artificial Intelligence (SCAI, pronounced Sky), a large language model (LLM) knowledge resource through usability testing. This pretest-intervention-posttest mixed-methods user interface (UI) design s...
Studies in health technology and informatics
May 12, 2025
We developed a doctor-facing chatbot named SCAI. We aimed to evaluate response speed and user satisfaction. Ten questions were used to test the response speed of the SCAI chatbot. The response time was long, but overall the participants were satisfie...
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Apr 25, 2025
Automatic classification of medical questions is of great significance in improving the quality and efficiency of online medical services, and belongs to the task of intent recognition. Joint entity recognition and intent recognition perform better t...
Invariant molecular representation models provide potential solutions to guarantee accurate prediction of molecular properties under distribution shifts out-of-distribution (OOD) by identifying and leveraging invariant substructures inherent to the m...