University of Szeged
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan et al.
2022 · 309 Zit.
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna et al.
2024 · 113 Zit.
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert et al.
2022 · 58 Zit.
Why Do Students Plagiarize? Efl Undergraduates’ Views on the Reasons Behind Plagiarism
Katalin Doró
2014 · 23 Zit.
Az anaemiák epidemiológiája
Imelda Marton, Szilvia Agócs, Barna Babik
2020 · 23 Zit.
International practices in health technology assessment and public financing of digital health technologies: recommendations for Hungary
Fruzsina Mezei, Krisztián Horváth, M. Pálfi et al.
2023 · 20 Zit.
ChatGPT M.D.: Is There Any Room for Generative AI in Neurology and Other Medical Areas?
Bernát Nógrádi, Tamás F. Polgár, Valéria Meszlényi et al.
2023 · 13 Zit.
A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna et al.
2023 · 12 Zit.
ChatGPT M.D.: Is there any room for generative AI in neurology?
Bernát Nógrádi, Tamás F. Polgár, Valéria Meszlényi et al.
2024 · 12 Zit.
Data Protection Impact Assessment Case Study for a Research Project Using Artificial Intelligence on Patient Data
Gizem Gültekin Várkonyi, Anton Gradišek
2020 · 7 Zit.
Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework
Manasvi Singh, Ashish Kumar, Narendra N. Khanna et al.
2023 · 5 Zit.
The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review
Martin Baxmann, Krisztina Kárpáti, Zoltán Baráth
2025 · 4 Zit.
Fiatal kutatók nehézségei a COVID–19 járvány alatt • Difficulties of Young Researchers during the Covid-19 Pandemic
Éva Dékány, Donát Alpár, Erika Bálint et al.
2020 · 4 Zit.
Big data research is everyone's research—Making epilepsy data science accessible to the global community: Report of the <scp>ILAE</scp> big data commission
Colin B. Josephson, Eleonora Aronica, Sándor Beniczky et al.
2024 · 4 Zit.
Application of the General Data Protection Regulation on Household Social Robots
Gizem Várkonyi Gültekin
2020 · 2 Zit.