Artificial Intelligence for Enhanced Medical Diagnosis: Developing Learning Models for Accurate Patient Diagnosis [Articol]
| dc.contributor.author | Olariu, Maria-Ecaterina | en |
| dc.date.accessioned | 2025-07-07T11:49:33Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This paper explores the integration of Artificial Intelligence (AI) in healthcare, focusing on its applications in medical imaging and diagnosis. It presents a case study evaluating generative AI tools in cardiovascular diagnostics, comparing their performance with expert analysis. The research highlights the potential of AI to augment human expertise in healthcare decision-making. Furthermore, it proposes future work on developing an AI-driven adaptive clinical decision support system based on European Guidelines. This system aims to personalize recommendations for individual practitioners while maintaining adherence to standardized best practices, potentially revolutionizing AI support in medical practice across Europe. | en |
| dc.identifier.citation | OLARIU, Maria-Ecaterina. Artificial Intelligence for Enhanced Medical Diagnosis: Developing Learning Models for Accurate Patient Diagnosis. In: International Conference dedicated to the 60th anniversary of the foundation of Vladimir Andrunachievici Institute of Mathematics and Computer Science, MSU, October 10-13 2024. Chisinau: [S. n.], 2024, pp. 350-354. ISBN 978-9975-68-515-3. | en |
| dc.identifier.isbn | 978-9975-68-515-3 | |
| dc.identifier.uri | https://msuir.usm.md/handle/123456789/18271 | |
| dc.language.iso | en | |
| dc.subject | Artificial Intelligence | en |
| dc.subject | healthcare | en |
| dc.subject | medical diagnosis | en |
| dc.subject | generative AI | en |
| dc.subject | clinical decision support | en |
| dc.subject | European Guidelines | en |
| dc.title | Artificial Intelligence for Enhanced Medical Diagnosis: Developing Learning Models for Accurate Patient Diagnosis [Articol] | en |
| dc.type | Article |