Results 141 to 150 of about 368,245 (198)

[Ethical Considerations About Artificial Inteligence (AI) Use in Medical Practice]. [PDF]

Open Respir Arch
Albisua J, Pacheco P.
europepmc   +1 more source

[Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray]. [PDF]

Radiologia, 2022
Calvillo-Batllés P, Cerdá-Alberich L, Fonfría-Esparcia C, Carreres-Ortega A, Muñoz-Núñez CF, Trilles-Olaso L, Martí-Bonmatí L.   +6 more
europepmc   +1 more source

Artificial intelligence in nursing: advancing clinical judgment and decision-making. [PDF]

Rev Bras Enferm
Vitorino LM, Yoshinari Júnior GH, Lopes-Júnior LC.   +2 more
europepmc   +1 more source

[Artificial intelligence in primary care: Friend or foe?] [PDF]

Aten Primaria
Bonis Sanz J, Bravo Toledo R.
europepmc   +1 more source

Machine Learning Algorithms to Estimate Propensity Scores in Health Policy Evaluation: A Scoping Review. [PDF]

Int J Environ Res Public Health
Lourenço L, Weber L, Garcia L, Ramos V, Souza J.   +4 more
europepmc   +1 more source

Unsupervised natural language processing in the identification of patients with suspected COVID-19 infection. [PDF]

Cad Saude Publica, 2023
Silva RPD, Pollettini JT, Pazin Filho A.
europepmc   +1 more source

Artificial intelligence in the diagnosis and management of dysphagia: a scoping review. [PDF]

Codas
Silva RDD, Almeida SB, Gonçalves FM, Zeigelboim BS, Stechman-Neto J, Schroder AGD, Nascimento WV, Santos RS, Araujo CM.   +8 more
europepmc   +1 more source

KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification. [PDF]

Diagnostics (Basel), 2023
García-Murillo DG, Álvarez-Meza AM, Castellanos-Dominguez CG.   +2 more
europepmc   +1 more source

Revisión de los procesos de clasificación de agua mediante modelos de aprendizaje máquina

Carlos Eduardo Cañedo Figueroa, Luis Arturo Camacho Silvas, S. Hidalgo, José A. Gómez-Limón Rodríguez Margarita Rico González, Nelson Xavier Bucheli Espinoza   +4 more
openalex   +2 more sources

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review. [PDF]

Cad Saude Publica
Schaab BL, Calvetti PÜ, Hoffmann S, Diaz GB, Rech M, Cazella SC, Stein AT, Barros HMT, Silva PCD, Reppold CT.   +9 more
europepmc   +1 more source