Titlebook: Applied Informatics; 7th International Co Hector Florez,Hernán Astudillo Conference proceedings 2025 The Editor(s) (if applicable) and The

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https://doi.org/10.1007/978-981-13-2059-0ative potential of deep learning in augmenting clinical decision-making for oral cancer detection. Integration of these advanced technologies into healthcare workflows could significantly improve early detection rates and treatment outcomes, paving the way for personalized medicine approaches in onc

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水獭

Jargon

osteoclasts

incredulity

Ghada El-Kot,Mike Leat,Shaimaa Masryssionals’ perspectives on this topic and compare these perspectives with the knowledge found in the literature. Finally, we developed a Proof-of-Concept (PoC) of a decision support tool using a Large Language Model (LLM) that provides targeted responses to questions about migrating legacy systems to

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Oestrogen Deficiency and the Bladderthe nutritional status of children globally. The presented proof of concept displays a framework in a remote region where child malnutrition is endemic, and the proposed technological platform supports the operation with real-time reporting and data analytics on demand.

Intrepid

Psychological Effects of the Menopause for chronic diseases such as hypertension and dia-betes. In the emergency department, consultations for trauma and poisoning pre-dominated, with a strong association with the female gender, suggesting possible implications of gender violence. Geographic analysis revealed that proximity to the healt

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Artificial Intelligence-Based Quantification and Prognostic Assessment of CD3, CD8, CD146, and PDGF-rning models. Results indicated that the U-Net transfer learning model achieved the highest precision in segmenting the tumor core and invasive margin regions with intersection over union scores of 0.94 and 0.88 respectively. However reduced performance was noted in underrepresented regions, emphasi

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