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Clinical Decision Making for Improving Prognosis / edited by Rong Liu

Contributor(s): Liu, Rong, editor literario
Material type: materialTypeLabelE-bookPublisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XIX, 185 páginas) : 19 ilustraciones, 8 ilustraciones a color.ISBN: 9789811929526.Subject: Diagnóstico -- Proceso de datosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC71 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.25122163
Total holds: 0

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.

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