Language Models in Lab Coats: AI-Powered Biomedical Interpretation
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 9
Special Issue Editor
Interests: appendectomy; artificial intelligence; surgical decision making
Special Issue Information
Dear Colleagues,
In recent years, biomedical sciences have witnessed an exponential rise in the complexity and volume of imaging data. While radiologists and biomedical researchers strive to interpret these datasets efficiently, artificial intelligence—especially large language models (LLMs)—has emerged as a transformative force in healthcare. Originally developed for text generation and comprehension, LLMs are now increasingly integrated with computer vision systems to support a new era of automated, multimodal biomedical analysis.
This Special Issue of Life aims to explore the intersection of biomedical imaging and large language models, emphasizing how LLMs can enhance, explain, and analyze medical images. We welcome original research articles, reviews, and perspectives that examine applications of LLMs in radiology, pathology, microscopy, genomics visualization, and beyond. Topics may include, but are not limited to, the following: vision–language models in image captioning and report generation, LLM-driven decision support systems, prompt engineering for medical use cases, explainable AI in image interpretation, and the integration of multimodal biomedical datasets through language-based interfaces.
Our goal is to bring together researchers from diverse domains—biomedical imaging, AI, data science, and clinical practice—to showcase cutting-edge methods and inspire future innovation. By framing LLMs as "lab coat" collaborators, this Special Issue envisions a future where language-based AI systems work hand-in-hand with researchers to deliver accurate, transparent, and scalable diagnostic tools and therapies.
Dr. Sebastian Sanduleanu
Guest Editor
Manuscript Submission Information
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Keywords
- radiology
- large language models
- artificial intelligence
- radiobiology
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