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Algorithms for risk stratification in the emergency department (Acute Coronary Syndrome, Stroke): a narrative literature review

Year: 2025

Type: article

Abstract: Objective: To analyze the impact of Artificial Intelligence and algorithms for risk stratification in emergency rooms. Literature Review: Artificial Intelligence is a branch of computer science that aims to develop systems that simulate the human capacity to perceive a problem, identifying its components to solve problems, and then propose and/or make decisions based on them. In the field of medicine, this involves the use of computers that, by analyzing a large volume of data and following algorithms defined by experts in the field, are able to propose solutions to medical problems. Final considerations: There is a consensus regarding the effectiveness of technology in medicine and public health, since the complexity of modern medicine exceeds the inherent limitations of the human mind. Thus, AI has the ability to process data and generate responses for increasingly accurate risk stratification strategies by inducing improvement (self-learning) of its own algorithms.

Source: International Health Sciences Review

DOI: 10.70164/ihsr.v1i4.54

Authors: Erisvan Gregório de Queiroz, Karla Moura, Ítalo Naftaly Silva Resende, Tamilis Fonteles Lira

Institutions: Universidade de Pernambuco, Universidade São Francisco, Universidade Federal do Maranhão

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4414347643

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