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Artificial intelligence in healthcare: analysis of artificial intelligence impact in the domain of medical diagnosis
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| 2.03 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Artificial intelligence Medical imaging Radiology Convolutional neural networks Generative adversarial networks Covid-19 Regulation