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Clinical Decision Making for Improving Prognosis
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Clinical Decision Making for Improving Prognosis/ edited by Rong Liu.
other author:
Liu, Rong.
Description:
XIX, 185 p. 19 illus., 8 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Surgery. -
Online resource:
https://doi.org/10.1007/978-981-19-2952-6
ISBN:
9789811929526
Clinical Decision Making for Improving Prognosis
Clinical Decision Making for Improving Prognosis
[electronic resource] /edited by Rong Liu. - 1st ed. 2022. - XIX, 185 p. 19 illus., 8 illus. in color.online resource.
1 Introduction -- 2 Surgical Risk Management -- 3 Decision Making Process for Interveners -- 4 Optimization of Interventions -- 5 The choice of intervention timing -- 6 Strategies of clinical decision making for improving prognosis.
With the advent of artificial intelligence and big data era, a new concept of clinical decision making for improving surgical outcomes was proposed, which emphasizes the optimal prognosis and best outcome for patients, makes full use of information technology such as artificial intelligence to reduce the uncertainty in the treatment process and the unevenness of the treatment level, and selects the most appropriate intervention means and intervention timing through objective evaluation. It will be helpful for surgeons to choose treatment options which will be effective to patients.
ISBN: 9789811929526
Standard No.: 10.1007/978-981-19-2952-6doiSubjects--Topical Terms:
644132
Surgery.
LC Class. No.: RD1-811
Dewey Class. No.: 617
Clinical Decision Making for Improving Prognosis
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1 Introduction -- 2 Surgical Risk Management -- 3 Decision Making Process for Interveners -- 4 Optimization of Interventions -- 5 The choice of intervention timing -- 6 Strategies of clinical decision making for improving prognosis.
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With the advent of artificial intelligence and big data era, a new concept of clinical decision making for improving surgical outcomes was proposed, which emphasizes the optimal prognosis and best outcome for patients, makes full use of information technology such as artificial intelligence to reduce the uncertainty in the treatment process and the unevenness of the treatment level, and selects the most appropriate intervention means and intervention timing through objective evaluation. It will be helpful for surgeons to choose treatment options which will be effective to patients.
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