RadTechBERT: a domain-specific language model for radiological technology evaluated using Japanese national examination-derived cloze questions.

From Bones to Rocks: A Systematic Evaluation of Specialized Definition Generation for Portuguese

SmartMM: A Domain-Specific Large Language Model for Medical Microbiology

Smart Medical Microbiology showed strong domain adaptability in medical microbiology knowledge organization, semantic generation, and retrieval-augmented reasoning, which supports its potential use in educational support, infectious disease knowledge assistance, and retrieval-enhanced medical question answering.

Lightweight Visual Question Answering in Radiology Domain

The increasing volume of imaging studies has motivated research on radiology Visual Question Answering (VQA), where systems combine image understanding and natural language processing to answer questions about medical images. This paper proposes a lightweight radiology VQA prototype based on MobileNetV3-Small and Disti...

Language Specificity vs. Domain Diversity: Benchmarking Transformers for Bangla Medical NER

It is demonstrated that prompt-only pipelines remain inadequate for structured clinical entity extraction in low-resource language environments, and fine-tuned transformer models outperform the optimal prompting configuration by a factor of 3.76, indicating that pretraining domain diversity can outweigh language specif...

An Automated, Contamination-Controlled VQA Benchmark for Evaluating Vision-Language Models on 3D Oncology Imaging

Vision-language models (VLMs) are increasingly applied to medical imaging, yet public benchmarks may reward memorization over perception: their images and questions can enter pretraining corpora, and many items remain answerable from question text alone. We present an automated, agent-driven pipeline that builds multip...

A Comparative Benchmark of Biomedical Language Models for Concept Normalization from Real-World Text

A benchmark-guided, scalable framework for automated medical terminology standardization that accepts heterogeneous short medical expressions without manual input pre-processing and automatically performs text refinement, semantic retrieval and terminology mapping to standardized concepts and vocabulary codes is establ...