Artificial intelligence to investigate predictors and prognostic impact of time to surgery in colon cancer.

Laura AlaimoZorays MoazzamSelamawit WoldesenbetHenrique A LimaYutaka EndoMuhammad M MunirLovette AzapAndrea RuzzenenteAlfredo GuglielmiTimothy M Pawlik

Published in: Journal of surgical oncology (2023)

The identification of factors associated with TTS can help stratify patients most likely to suffer poor outcomes due to prolonged TTS, as well as guide quality improvement initiatives related to timely surgical care.

Keyphrases

quality improvement
artificial intelligence
machine learning
end stage renal disease
big data
ejection fraction
healthcare
patient safety
minimally invasive
newly diagnosed
deep learning
palliative care
prognostic factors
type diabetes
coronary artery bypass
coronary artery disease
health insurance
glycemic control