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Utilizing artificial intelligence assisted DEWS (deep learning-based early warning score) to predict blood transfusion requirements in posterior lumbar spine surgery

Year: 2024

Type: conference-paper

Abstract: Objectives: The deep learning-based early warning score(DEWS), an artificial intelligence(AI) assisted system, could be utilized in various clinical practices and for prevention of cardiac arrest. This study investigates the utility of DEWS in predicting intraoperative hemorrhagic risk in spinal surgeries, [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/24dkou438

Authors: Lee, Jung Sub, Goh, Tae Sik, Cho, Yoon Jae, Choi, Min Jun, Kim, Ji Hoon, Kim, Han Sol, Kim, Ki Hun, Lee, Jong Won, Kim, Hye Rin

Institution: Pusan National University Hospital

Language: English

Topic: Blood transfusion and management

Subfield: Biochemistry

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6945732253

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