Applications of microwaves in medicine leveraging artificial intelligence: Future perspectives
Microwaves are non-ionizing electromagnetic radiation with waves of electrical and
magnetic energy transmitted at different frequencies. They are widely used in various …
magnetic energy transmitted at different frequencies. They are widely used in various …
ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation
AF Stephens, M Šeman, A Diehl, D Pilcher… - Intensive Care …, 2023 - Springer
Purpose Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a complex and
high-risk life support modality used in severe cardiorespiratory failure. ECMO survival scores …
high-risk life support modality used in severe cardiorespiratory failure. ECMO survival scores …
Predicting Cardiopulmonary Arrest with Digital Biomarkers: A Systematic Review
GD De Sario Velasquez, AJ Forte, CJ McLeod… - Journal of Clinical …, 2023 - mdpi.com
(1) Background: Telemetry units allow the continuous monitoring of vital signs and ECG of
patients. Such physiological indicators work as the digital signatures and biomarkers of …
patients. Such physiological indicators work as the digital signatures and biomarkers of …
[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology
M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …
Intelligent clinical decision support
Early recognition of pathologic cardiorespiratory stress and forecasting cardiorespiratory
decompensation in the critically ill is difficult even in highly monitored patients in the …
decompensation in the critically ill is difficult even in highly monitored patients in the …
Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels
Atrial fibrillation (AF) is the most common arrhythmia found in the intensive care unit (ICU),
and is associated with many adverse outcomes. Effective handling of AF and similar …
and is associated with many adverse outcomes. Effective handling of AF and similar …
Leveraging data science and novel technologies to develop and implement precision medicine strategies in critical care
LN Sanchez-Pinto, SV Bhavani… - Critical Care …, 2023 - criticalcare.theclinics.com
Heterogeneity is a pervasive feature of critical illness syndromes. Patients in the intensive
care unit (ICU) are injured or develop critical illness for a plethora of reasons. On any given …
care unit (ICU) are injured or develop critical illness for a plethora of reasons. On any given …
Optimized arterial line artifact identification algorithm cleans high-frequency arterial line data with high accuracy in critically ill patients
OBJECTIVES: High-frequency data streams of vital signs may be used to generate
individualized hemodynamic targets for critically ill patients. Central to this precision …
individualized hemodynamic targets for critically ill patients. Central to this precision …
Robust Machine Learning in Critical Care—Software Engineering and Medical Perspectives
M Staron, HO Herges, S Naredi, L Block… - 2021 IEEE/ACM 1st …, 2021 - ieeexplore.ieee.org
Using machine learning in clinical practice poses hard requirements on explainability,
reliability, replicability and robustness of these systems. Therefore, developing reliable …
reliability, replicability and robustness of these systems. Therefore, developing reliable …
Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children
SB Walker, CM Badke, MS Carroll, KS Honegger… - Pediatric …, 2023 - nature.com
Continuous cardiorespiratory physiological monitoring is a cornerstone of care in
hospitalized children. The data generated by monitoring devices coupled with machine …
hospitalized children. The data generated by monitoring devices coupled with machine …