Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Anna Escalé-Besa"'
Autor:
Queralt Miró Catalina, Josep Vidal-Alaball, Aïna Fuster-Casanovas, Anna Escalé-Besa, Anna Ruiz Comellas, Jordi Solé-Casals
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Interpreting chest X-rays is a complex task, and artificial intelligence algorithms for this purpose are currently being developed. It is important to perform external validations of these algorithms in order to implement them. This study th
Externí odkaz:
https://doaj.org/article/e5096b10326f4cfe82990142e7dbd71a
Publikováno v:
Atención Primaria, Vol 56, Iss 2, Pp 102820- (2024)
Artificial intelligence (AI) can be a valuable tool for primary care (PC), as, among other things, it can help healthcare professionals improve diagnostic accuracy, chronic disease management and the overall efficiency of the care they provide. It is
Externí odkaz:
https://doaj.org/article/3e7e9d91594d473cba9d0ba13299edd5
Autor:
Aïna Fuster-Casanovas, Queralt Miró Catalina, Josep Vidal-Alaball, Anna Escalé-Besa, Carme Carrión
Publikováno v:
JMIR Mental Health, Vol 11, p e52816 (2024)
BackgroundThe reasons for mental health consultations are becoming increasingly relevant in primary care. The Catalan health care system is undergoing a process of digital transformation, where eHealth is becoming increasingly relevant in routine cli
Externí odkaz:
https://doaj.org/article/3cf50b5ebc564bc597df4d2554ab66d4
Autor:
Queralt Miró Catalina, Joaquim Femenia, Aïna Fuster-Casanovas, Francesc X Marin-Gomez, Anna Escalé-Besa, Jordi Solé-Casals, Josep Vidal-Alaball
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e50728 (2023)
BackgroundArtificial Intelligence (AI) has been developing for decades, but in recent years its use in the field of health care has experienced an exponential increase. Currently, there is little doubt that these tools have transformed clinical pract
Externí odkaz:
https://doaj.org/article/4671546ab95f4e06a3be2c5854f80fe3
Autor:
Anna Escalé-Besa, Oriol Yélamos, Josep Vidal-Alaball, Aïna Fuster-Casanovas, Queralt Miró Catalina, Alexander Börve, Ricardo Ander-Egg Aguilar, Xavier Fustà-Novell, Xavier Cubiró, Mireia Esquius Rafat, Cristina López-Sanchez, Francesc X. Marin-Gomez
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Dermatological conditions are a relevant health problem. Machine learning (ML) models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, especially for skin cancer detection and disease
Externí odkaz:
https://doaj.org/article/0d5187ed334546d2aca34e9f870f9dc6
Autor:
Josep Vidal-Alaball, Iris Alarcon Belmonte, Robert Panadés Zafra, Anna Escalé-Besa, Jordi Acezat Oliva, Carme Saperas Perez
Publikováno v:
Atención Primaria, Vol 55, Iss 9, Pp 102626- (2023)
Resumen: La transformación digital implica la integración de tecnología en todas las áreas de una organización y un cambio en la forma de operar y de proporcionar valor. En el sector de la salud, la transformación digital debe centrarse en mejo
Externí odkaz:
https://doaj.org/article/ef9512e30a1542d8a6b5903bfef8d02f
Autor:
Queralt Miró Catalina, Aïna Fuster-Casanovas, Josep Vidal-Alaball, Anna Escalé-Besa, Francesc X Marin-Gomez, Joaquim Femenia, Jordi Solé-Casals
Publikováno v:
Digital Health, Vol 9 (2023)
Objective The rapid digitisation of healthcare data and the sheer volume being generated means that artificial intelligence (AI) is becoming a new reality in the practice of medicine. For this reason, describing the perception of primary care (PC) he
Externí odkaz:
https://doaj.org/article/9cda45cc534a40759e597d8c11b093fa
Autor:
Anna Escalé-Besa, Aïna Fuster-Casanovas, Alexander Börve, Oriol Yélamos, Xavier Fustà-Novell, Mireia Esquius Rafat, Francesc X Marin-Gomez, Josep Vidal-Alaball
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 8, p e37531 (2022)
BackgroundDermatological conditions are a relevant health problem. Each person has an average of 1.6 skin diseases per year, and consultations for skin pathology represent 20% of the total annual visits to primary care and around 35% are referred to
Externí odkaz:
https://doaj.org/article/417ef4959cda4b27be521ac1cfb3e85b
Autor:
Anna Escalé-Besa, Oriol Yélamos, Josep Vidal-Alaball, Aïna Fuster-Casanovas, Queralt Miró Catalina, Alexander Börve, Ricardo Ander-Egg Aguilar, Xavier Fustà-Novell, Xavier Cubiró, Mireia Esquius R, Cristina López-Sanchez, Francesc X Marin-Gomez
Background Dermatological conditions are a relevant health problem. Machine learning (ML) models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, especially for skin cancer detection and diseas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0f14629d6b246b525b577934bf5921e
https://doi.org/10.21203/rs.3.rs-2458044/v1
https://doi.org/10.21203/rs.3.rs-2458044/v1
Autor:
Anna Escalé-Besa, Oriol Yélamos, Josep Vidal-Alaball, Aïna Fuster-Casanovas, Queralt Miró Catalina, Alexander Börve, Ricardo Ander-Egg Aguilar, Xavier Fustà-Novell, Xavier Cubiró, Mireia Esquius Rafat, Cristina López-Sanchez, Francesc X Marin-Gomez
BACKGROUND Dermatological conditions are a relevant health problem. Machine learning (ML) models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, especially for skin cancer detection and diseas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5edf021b3e4141a0893f05ea25ae64c8
https://doi.org/10.2196/preprints.45365
https://doi.org/10.2196/preprints.45365