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 …

[HTML][HTML] Risk stratification of syncope: current syncope guidelines and beyond

R Sutton, F Ricci, A Fedorowski - Autonomic Neuroscience, 2022 - Elsevier
Syncope is an alarming event carrying the possibility of serious outcomes, including sudden
cardiac death (SCD). Therefore, immediate risk stratification should be applied whenever …

Characteristics of artificial intelligence clinical trials in the field of healthcare: A cross-sectional study on clinicaltrials. gov

A Wang, X Xiu, S Liu, Q Qian, S Wu - International Journal of …, 2022 - mdpi.com
Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns,
despite a lack of understanding of its performance in clinical practice. We conducted a cross …

Phased genome sequence of an interspecific hybrid flowering cherry, 'Somei-Yoshino' (Cerasus × yedoensis)

K Shirasawa, T Esumi, H Hirakawa, H Tanaka… - DNA …, 2019 - academic.oup.com
We report the phased genome sequence of an interspecific hybrid, the flowering cherry
'Somei-Yoshino'(Cerasus× yedoensis). The sequence data were obtained by single …

Will artificial intelligence be “better” than humans in the management of syncope?

F Dipaola, MA Gebska, M Gatti, AG Levra, WH Parker… - JACC: Advances, 2024 - jacc.org
Clinical decision-making regarding syncope poses challenges, with risk of physician error
due to the elusive nature of syncope pathophysiology, diverse presentations, heterogeneity …

Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study

F Dipaola, M Gatti, A Giaj Levra, R Menè, D Shiffer… - Scientific Reports, 2023 - nature.com
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the
Emergency Department (ED). To address this aim, we developed an artificial neural network …

Analysis of hemorrhagic fever with renal syndrome using wavelet tools in Mainland China, 2004–2019

LX Zou, L Sun - Frontiers in public health, 2020 - frontiersin.org
Introduction: Hemorrhagic fever with renal syndrome (HFRS) is a life-threatening public
health problem in China, accounting for~ 90% of HFRS cases reported globally. Accurate …

[HTML][HTML] Role of Artificial Intelligence in Improving Syncope Management

V Thiruganasambandamoorthy, MA Probst… - Canadian Journal of …, 2024 - Elsevier
Syncope is common in the general population and a common presenting symptom in acute
care settings. Substantial costs are attributed to the care of patients with syncope. Current …

Neural networks and hospital length of stay: an application to support healthcare management with national benchmarks and thresholds

R Ippoliti, G Falavigna, C Zanelli, R Bellini… - Cost Effectiveness and …, 2021 - Springer
Background The problem of correct inpatient scheduling is extremely significant for
healthcare management. Extended length of stay can have negative effects on the supply of …

Can Artificial Intelligence Enhance Syncope Management? A JACC: Advances Multidisciplinary Collaborative Statement

GM Statz, AZ Evans, SL Johnston, M Adhaduk… - JACC: Advances, 2023 - jacc.org
Syncope, a form of transient loss of consciousness, remains a complex medical condition for
which adverse cardiovascular outcomes, including death, are of major concern but rarely …