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Editorial
. 2021 Feb 1;22(2):219-220.
doi: 10.1097/PCC.0000000000002639.

Machine Learning to Support Organ Donation After Cardiac Death: Is the Time Now?

Caitlin E O'Brien  1 , Anna Noguchi  2 , James C Fackler  1
Affiliations
Editorial

Machine Learning to Support Organ Donation After Cardiac Death: Is the Time Now?

Caitlin E O'Brien et al. Pediatr Crit Care Med. .
No abstract available

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Conflict of interest statement

The authors have disclosed that they do not have any potential conflicts of interest.

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References

    1. Bennett EE, Sweney J, Aguayo C, et al. Pediatric organ donation potential at a Children’s Hospital. Pediatr Crit Care Med. 2015; 16:814–820
    1. Deceased Donors Recovered in the U.S. by Donor Age. Available at: https://optn.transplant.hrsa.gov/data/view-data-reports/national-data/# . Accessed October 28, 2020
    1. Critical Pathway for Donation After Cardiac Death. Available at: https://unos.org/wp-content/uploads/unos/Critical_Pathway_DCD_Donor . Accessed October 16, 2020
    1. Shore PM, Huang R, Roy L, et al. Development of a bedside tool to predict time to death after withdrawal of life-sustaining therapies in infants and children. Pediatr Crit Care Med. 2012; 13:415–422
    1. Winter MC, Day TE, Ledbetter DR, et al. Machine Learning to Predict Cardiac Death Within 1 Hour After Terminal Extubation. Pediatr Crit Care Med. 2021; 22:161–171

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