A mesterséges intelligencia alapú megoldások fejlesztése és bevezetése az egészségügyben – kézműves manufaktúrától a gyártósorig?
Judit Balogh(Semmelweis University), Tamás Joó(Semmelweis University), Tamás Palicz(Semmelweis University), Irina Ugrin(Semmelweis University), Krisztina Davidovics(Semmelweis University), Endre Kontsek(Semmelweis University), Miklós Szócska(Semmelweis University), Gergely Varga(Semmelweis University), Péter Pollner(Semmelweis University)
Cited by 9
Related Papers
The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis
|The Lancet Public Health|2022|373
The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990–2019: Findings from the Global Burden of Disease Study 2019
|The Lancet Regional Health - Europe|2022|348
Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis
|Scientific Reports|2021|64
Physical imaging parameter variation drives domain shift
|Scientific Reports|2022|31
Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems
|Machine Learning and Knowledge Extraction|2025|30