Latest AI and machine learning research in clinical trials for healthcare professionals.
Language processing is supported by distributed neural systems. Yet most research examines these sys...
Medical image foundation models (MIFMs) have demonstrated remarkable potential for a wide range of c...
As the development of Large Models (LMs) progresses rapidly, their safety is also a priority. In cur...
Speech is a defining human behavior, and this ability depends critically on speech motor cortex. Whi...
Large language models (LLMs) are increasingly used in clinical workflows, yet requiring clinician re...
Background: Large Language Models (LLMs) show promise for clinical decision support in Intensive Car...
Recent advances in large image editing models have shifted the paradigm from text-driven instruction...
Agents in cyber-physical systems are increasingly entrusted with safety-critical tasks. Ensuring saf...
Background: Traditional pharmacovigilance methods based on biostatistical approaches systematically ...
Randomized controlled trials estimate average treatment effects, but treatment response heterogeneit...
Vision-Language Models (VLMs) are now a core part of modern AI. Recent work proposed several visual ...
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems are increasingly integ...
Importance: High-quality discharge summaries are essential for safe care transitions but contribute ...
Safety alignment is only as robust as its weakest failure mode. Despite extensive work on safety pos...
In pharmacovigilance, analyzing drug safety cases is often time consuming due to the abundance of la...
Background: Neural network effects of transcranial direct current stimulation (tDCS) are poorly unde...
Purpose: Large language models (LLMs) can classify biomedical documents accurately, but strong perfo...
Abstract Purpose: To quantify run-to-run reproducibility of Gemini 3 Flash Preview and GPT-5.2 for b...
Dopamine (DA) has been implicated in exploration-exploitation behaviour, i.e., exploring novel, pote...
Robust safety of vision-language large models (VLLMs) under joint multilingual and multimodal inputs...
Vision-language models (VLMs) have become central to tasks such as visual question answering, image ...