Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.
Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...
To explore the use of unsupervised machine learning (UML) to analyse segments of the pressure flow study (PFS) curve after maximum flow, and subsequently to analyse the urodynamic and patient ...
Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...
The main predictors for 30-day mortality in ICU patients with asthma were age, RR, RDW, urine output, anion gap, international normalized ratio, and heart rate. A machine learning (ML)-based model can ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Medical imaging is one of the most promising fields for use of AI tools, as pattern recognition and large data sets can enhance human diagnosis (e.g., by radiologists) or even compete with them. A ...
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Machine Learning Specialty exam rewards candidates who can design, build, ...
Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
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