How do machines learn? artificial intelligence as a new era in medicine
O Koteluk, A Wartecki, S Mazurek… - Journal of Personalized …, 2021 - mdpi.com
With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …
reliable, automated evaluation tools. With high hopes and expectations, machine learning …
Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review
A Boonstra, M Laven - BMC health services research, 2022 - Springer
Objective This systematic literature review aims to demonstrate how Artificial Intelligence (AI)
is currently used in emergency departments (ED) and how it alters the work design of ED …
is currently used in emergency departments (ED) and how it alters the work design of ED …
Artificial intelligence and machine learning in emergency medicine: a narrative review
Aim The emergence and evolution of artificial intelligence (AI) has generated increasing
interest in machine learning applications for health care. Specifically, researchers are …
interest in machine learning applications for health care. Specifically, researchers are …
Machine learning-based early prediction of sepsis using electronic health records: a systematic review
Background: Sepsis, a life-threatening infection-induced inflammatory condition, has
significant global health impacts. Timely detection is crucial for improving patient outcomes …
significant global health impacts. Timely detection is crucial for improving patient outcomes …
Artificial intelligence and machine learning in emergency medicine
KJW Tang, CKE Ang, T Constantinides… - Biocybernetics and …, 2021 - Elsevier
Abstract The advent of Artificial Intelligence (AI) has resulted in development of novel
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
Machine learning algorithms for early sepsis detection in the emergency department: A retrospective study
N Kijpaisalratana, D Sanglertsinlapachai… - International Journal of …, 2022 - Elsevier
Background Early recognition and treatment of sepsis are crucial for improving patient
outcomes. However, the diagnosis of sepsis remains challenging because of vague clinical …
outcomes. However, the diagnosis of sepsis remains challenging because of vague clinical …
Enabling fairness in healthcare through machine learning
The use of machine learning systems for decision-support in healthcare may exacerbate
health inequalities. However, recent work suggests that algorithms trained on sufficiently …
health inequalities. However, recent work suggests that algorithms trained on sufficiently …
[HTML][HTML] The aspects of running artificial intelligence in emergency care; a sco** review
MM Hosseini, STM Hosseini, K Qayumi… - Archives of academic …, 2023 - ncbi.nlm.nih.gov
Methods: A comprehensive literature collection was compiled through electronic
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …
Early detection of sepsis with machine learning techniques: a brief clinical perspective
Sepsis is a major cause of death worldwide. Over the past years, prediction of clinically
relevant events through machine learning models has gained particular attention. In the …
relevant events through machine learning models has gained particular attention. In the …
Early prediction of mortality, severity, and length of stay in the intensive care unit of sepsis patients based on sepsis 3.0 by machine learning models
Background: Early prediction of the clinical outcome of patients with sepsis is of great
significance and can guide treatment and reduce the mortality of patients. However, it is …
significance and can guide treatment and reduce the mortality of patients. However, it is …