Artificial intelligence to support clinical decision-making processes-Reference-Cited by-同舟云学术

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Artificial intelligence to support clinical decision-making processes

Published:2019-08 Issue: Volume:46 Page:27-29
ISSN:2352-3964
Container-title:EBioMedicine
language:en
Short-container-title:EBioMedicine

Author:

Garcia-Vidal Carolina^ORCID,Sanjuan Gemma,Puerta-Alcalde Pedro,Moreno-García Estela,Soriano Alex

Funder

Gilead Science

Merck Sharp and Dohme

Pfizer

Jannsen

Novartis

Lilly

Gilead Science and Merck Sharp and Dohme

Angellini

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference10 articles.

1. Inappropriate empirical antibiotic treatment in high-risk neutropenic patients with bacteremia in the era of multidrug resistance;Martinez-Nadal;Clin Infect Dis,2019

2. Antimicrobial resistance in gram-negative rods causing bacteremia in hematopoietic stem cell transplant recipients: intercontinental prospective study of the infectious diseases working Party of the European Bone Marrow Transplantation Group;Averbuch;Clin Infect Dis,2017

3. Bacteraemia due to multidrug-resistant Gram-negative bacilli in cancer patients: risk factors, antibiotic therapy and outcomes;Gudiol;J Antimicrob Chemother,2011

4. Epidemiology of bacteremia and factors associated with multi-drug-resistant Gram-negative bacteremia in hematopoietic stem cell transplant recipients;Oliveira;Bone Marrow Transplant,2007

5. Risk factors for mortality in patients with acute leukemia and bloodstream infections in the era of multiresistance;Garcia-Vidal;PLoS One,2018

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2. Current microbiological testing approaches and documented infections at febrile neutropenia onset in patients with hematologic malignancies;International Journal of Infectious Diseases;2024-10

3. An Institutional Febrile Neutropenia Protocol Improved the Antibacterial Treatment and Encouraged the Development of a Computerized Clinical Decision Support System;Antibiotics;2024-09-02

4. Analysis of international publication trends in artificial intelligence in skin cancer;Clinics in Dermatology;2024-09

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