Artificial Intelligence in Biomedicine | 58.83 MB
Title: Artificial Intelligence in Biomedicine
Author: Aurelio López Fernández · Alejandro Rodríguez-González · Raquel Leirós-Rodríguez · Christian Mata Miquel · Víctor Manuel González Suárez
Category: Nonfiction, Computers, Database Management, Science & Nature, Mathematics, Statistics
Language: English | 652 Pages | ISBN: 3032106605
Description:
This book constitutes the proceedings of the First Conference of the Spanish Society of Artificial Intelligence in Biomedicine, CIABiomed 2025, held in Seville, Spain, during October 23-24, 2025.
The 38 full papers presented together with 9 short papers were carefully reviewed and selected from 55 submissions. They are organized in topical sections as follows: Explainable and interpretable AI in clinical and biomedical contexts; Ethics, privacy and security in AI applications in the healthcare; AI-based clinical decision support systems;Biomedical signal processing;Natural language processing (NLP) in biomedicine; Medical image processing and computer vision in clinical environments;Prediction of protein structures and molecular interactions with AI techniques; AI for multi-omic integration and analysis of heterogeneous biomedical data; Predictive modelling and personalised medicine using artificial intelligence.
This book constitutes the proceedings of the First Conference of the Spanish Society of Artificial Intelligence in Biomedicine, CIABiomed 2025, held in Seville, Spain, during October 23-24, 2025.
The 38 full papers presented together with 9 short papers were carefully reviewed and selected from 55 submissions. They are organized in topical sections as follows: Explainable and interpretable AI in clinical and biomedical contexts; Ethics, privacy and security in AI applications in the healthcare; AI-based clinical decision support systems;Biomedical signal processing;Natural language processing (NLP) in biomedicine; Medical image processing and computer vision in clinical environments;Prediction of protein structures and molecular interactions with AI techniques; AI for multi-omic integration and analysis of heterogeneous biomedical data; Predictive modelling and personalised medicine using artificial intelligence.
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