Results 251 to 260 of about 52,931 (300)
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro +4 more
wiley +1 more source
MedDiscover: A Domain-Specific Retrieval-Augmented Generation Framework for Evidence-Grounded Knowledge Extraction in Metabolomics. [PDF]
Patel VP, Jolkver E, Schwerk A.
europepmc +1 more source
Ambient technology in epilepsy clinical practice
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan +3 more
wiley +1 more source
WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero. [PDF]
Zhai M +7 more
europepmc +1 more source
Multimodal Diagnostic Accuracy of GPT-4.o, Claude 3.7, and Gemini 2.5 on Real-World Retina Cases. [PDF]
Amiri I, Jiao C, Zhang AY.
europepmc +1 more source
When Large Language Models (LLMs) walk into a Bachelor's in optometry examination: Comparing the performances of LLMs and bachelor of optometry students. [PDF]
Arora A +7 more
europepmc +1 more source
Evaluating the Accuracy and Diagnostic Reasoning of Multimodal Large Language Models in Interpreting Neuroradiology Cases From <i>RadioGraphics</i>. [PDF]
Suh PS +6 more
europepmc +1 more source

