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Listar Artículos (Tecnología Electrónica) por autor "Oprescu, Andreea M."
Mostrando ítems 1-6 de 6
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Artículo
A Context-Aware Artificial Intelligence-based System to Support Street Crossings For Pedestrians with Visual Impairments
Montanha, Aleksandro; Oprescu, Andreea M.; Romero Ternero, María del Carmen (Taylor and Francis, 2022-04)Artificial intelligence has the potential to support and improve the quality of life of people with disabilities. Mobility ...
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Artículo
Artificial lntelligence in Pregnancy: A Scoping Review
Oprescu, Andreea M.; Miró Amarante, Gloria; García Díaz, Lutgardo; Beltrán Romero, Luis Matías; Rey Caballero, Victoria Eugenia; Romero Ternero, María del Carmen (Institute of Electrical and Electronics Engineers, 2020-10)Artificial Intelligence has been widely applied to a majority of research areas, including health and medicine. Certain ...
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Body posture determination for Heart Failure patients from ankle orientation measurements
Fernández Scagliusi, Santiago Joaquín; Pérez García, Pablo; Oprescu, Andreea M.; Martín Fernández, Daniel; Olmo Fernández, Alberto; Huertas Sánchez, Gloria; Yúfera García, Alberto (Institute of Electrical and Electronics Engineers, 2023-03)Heart-Failure (HF) is among the leading hospitalization causes in modern healthcare systems. In this paper, a method for ...
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Artículo
Machine Learning to Predict Pre-Eclampsia and Intrauterine Growth Restriction in Pregnant Women
Gómez-Jemes, Lola; Oprescu, Andreea M.; Chimenea-Toscano, Ángel; García-Díaz, Lutgardo; Romero Ternero, María del Carmen (MDPI, 2022-10)The use of artificial intelligence in healthcare in general and in obstetrics and gynecology in particular has great ...
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Reducing Dental Anxiety in Children Using a Mobile Health App: Usability and User Experience Study
Romero Ternero, María del Carmen; Cagigas Muñiz, Daniel; García Robles, Rocío; Oprescu, Andreea M. (JMIR Publications, 2023)Dentistry interventions cause common anxiety and fear problems in children (6-11 years), and according to scientific ...
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Artículo
Towards a data collection methodology for Responsible Artificial Intelligence in health: A prospective and qualitative study in pregnancy
Oprescu, Andreea M.; Miró Amarante, Gloria; García Díaz, Lutgardo; Rey Caballero, Victoria Eugenia; Chimenea Toscano, Ángel; Martínez-Martínez, Ricard; Romero Ternero, María del Carmen (Elsevier, 2022-07)A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- cology and Obstetrics. ...