Publicação
Artificial intelligence in healthcare: analysis of artificial intelligence impact in the domain of medical diagnosis
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Castro, João | |
| dc.contributor.author | Heyden, Yannick Von Der | |
| dc.date.accessioned | 2024-10-30T09:13:25Z | |
| dc.date.available | 2024-10-30T09:13:25Z | |
| dc.date.issued | 2024-02-02 | |
| dc.date.submitted | 2023-12-19 | |
| dc.description.abstract | Medical Diagnosis (Yannick von der Heyden): This thesis section delves into the integration of Artificial Intelligence in radiology, specifically focusing on its application in medical imaging. It discusses the evolution of AI in radiological practices, the technological underpinnings of AI in image analysis, and its pivotal role during the COVID-19 pandemic. The study evaluates how AI enhances diagnostic precision and operational efficiency in medical imaging, while also addressing the challenges it presents in terms of interpretability, ethical considerations, and the need for specialized education. Furthermore, it highlights the need for advancements in AI usability and accuracy, as indicated by expert interviews, to optimize its application in radiological settings. | pt_PT |
| dc.identifier.tid | 203605560 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/174301 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | Medical imaging | pt_PT |
| dc.subject | Radiology | pt_PT |
| dc.subject | Convolutional neural networks | pt_PT |
| dc.subject | Generative adversarial networks | pt_PT |
| dc.subject | Covid-19 | pt_PT |
| dc.subject | Regulation | pt_PT |
| dc.title | Artificial intelligence in healthcare: analysis of artificial intelligence impact in the domain of medical diagnosis | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics. | pt_PT |