Literature DB >> 30693394

Surgical Block Scheduling Controlled by a Machine: Reality or Science Fiction?

Valentina Bellini1, Umberto Maestroni2, Elena Bignami3.   

Abstract

Mesh：

Year:  2019        PMID： 30693394     DOI： 10.1007/s10916-019-1178-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN： 0148-5598            Impact factor:   4.460


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  3 in total

1.  A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Authors:  Beiqun Zhao; Ruth S Waterman; Richard D Urman; Rodney A Gabriel
Journal:  J Med Syst       Date:  2019-01-05       Impact factor: 4.460

2.  Improving the efficiency of the operating room environment with an optimization and machine learning model.

Authors:  Michael Fairley; David Scheinker; Margaret L Brandeau
Journal:  Health Care Manag Sci       Date:  2018-11-01

3.  A Quantile Regression Approach to Estimating the Distribution of Anesthetic Procedure Time during Induction.

Authors:  Hsin-Lun Wu; Wen-Kuei Chang; Ken-Hua Hu; Richard M Langford; Mei-Yung Tsou; Kuang-Yi Chang
Journal:  PLoS One       Date:  2015-08-04       Impact factor: 3.240
  3 in total
  1 in total

1.  Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization.

Authors:  Valentina Bellini; Marco Guzzon; Barbara Bigliardi; Monica Mordonini; Serena Filippelli; Elena Bignami
Journal:  J Med Syst       Date:  2019-12-10       Impact factor: 4.460
  1 in total

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