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Literature DB >> 35766685

Artificial intelligence and machine learning in pediatrics and neonatology healthcare.

Felipe Yu Matsushita¹, Vera Lucia Jornada Krebs¹, Werther Brunow de Carvalho¹.

Abstract

Entities: Chemical

Mesh：

Year: 2022 PMID： 35766685 PMCID： PMC9575899 DOI： 10.1590/1806-9282.20220177

Source DB: PubMed Journal: Rev Assoc Med Bras (1992) ISSN： 0104-4230 Impact factor: 1.712

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22 in total

1. The potential for artificial intelligence in healthcare.

Authors: Thomas Davenport; Ravi Kalakota
Journal: Future Healthc J Date: 2019-06

2. A new initiative on precision medicine.

Authors: Francis S Collins; Harold Varmus
Journal: N Engl J Med Date: 2015-01-30 Impact factor: 91.245

3. Early Detection of Late Onset Sepsis in Premature Infants Using Visibility Graph Analysis of Heart Rate Variability.

Authors: Cristhyne Leon; Guy Carrault; Patrick Pladys; Alain Beuchee
Journal: IEEE J Biomed Health Inform Date: 2021-04-06 Impact factor: 5.772

Review 4. Burnout syndrome among healthcare professionals.

Authors: Patrick J Bridgeman; Mary Barna Bridgeman; Joseph Barone
Journal: Am J Health Syst Pharm Date: 2017-11-28 Impact factor: 2.637

Review 5. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Authors: Davide Cirillo; Silvina Catuara-Solarz; Czuee Morey; Emre Guney; Laia Subirats; Simona Mellino; Annalisa Gigante; Alfonso Valencia; María José Rementeria; Antonella Santuccione Chadha; Nikolaos Mavridis
Journal: NPJ Digit Med Date: 2020-06-01

Artificial intelligence and machine learning in pediatrics and neonatology healthcare.

1. The potential for artificial intelligence in healthcare.

2. A new initiative on precision medicine.

3. Early Detection of Late Onset Sepsis in Premature Infants Using Visibility Graph Analysis of Heart Rate Variability.

Review 4. Burnout syndrome among healthcare professionals.

Review 5. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Review 6. Factors Related to Physician Burnout and Its Consequences: A Review.

7. Neonatal mortality prediction with routinely collected data: a machine learning approach.

8. Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Toward a Clinical Adjunct.