Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
Clinical decision support systems for triage in the emergency department using intelligent systems: a review
M Fernandes, SM Vieira, F Leite, C Palos… - Artificial Intelligence in …, 2020 - Elsevier
Abstract Motivation Emergency Departments'(ED) modern triage systems implemented
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
Machine learning–based prediction of clinical outcomes for children during emergency department triage
Importance While machine learning approaches may enhance prediction ability, little is
known about their utility in emergency department (ED) triage. Objectives To examine the …
known about their utility in emergency department (ED) triage. Objectives To examine the …
Reducing the uncanny valley by dehumanizing humanoid robots
Humanoid robots are often experienced as unnerving, a psychological phenomenon called
the “uncanny valley.” Past work reveals that humanlike robots are unnerving in part because …
the “uncanny valley.” Past work reveals that humanlike robots are unnerving in part because …
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 in emergency medicine: a scoping review
Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
Artificial intelligence and machine learning in emergency medicine: a narrative review
B Mueller, T Kinoshita, A Peebles… - Acute medicine & …, 2022 - Wiley Online Library
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 …
Urinary stone detection on CT images using deep convolutional neural networks: evaluation of model performance and generalization
Purpose To investigate the diagnostic accuracy of cascading convolutional neural network
(CNN) for urinary stone detection on unenhanced CT images and to evaluate the …
(CNN) for urinary stone detection on unenhanced CT images and to evaluate the …
Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED
Objective The prediction of emergency department (ED) disposition at triage remains
challenging. Machine learning approaches may enhance prediction. We compared the …
challenging. Machine learning approaches may enhance prediction. We compared the …
Transparency of artificial intelligence in healthcare: insights from professionals in computing and healthcare worldwide
Although it is widely assumed that Artificial Intelligence (AI) will revolutionise healthcare in
the near future, considerable progress must yet be made in order to gain the trust of …
the near future, considerable progress must yet be made in order to gain the trust of …