A recent study conducted by researchers at the University of Gothenburg has revealed that high birth weight is a significant risk factor for severe birth injuries, particularly obstetric anal ...
Abstract: New optimization solutions are needed for existing current data center energy utilization levels. The predictive AI optimized technology is used within the designed framework as it operates ...
Abstract: This paper shows how explicit model predictive control (MPC) strategies can be implemented in Python. They use a pre-calculated map between state measurements and control inputs to simplify ...
22/08/2023 - New full distribution files available for release v1.6.1; Changes for v1.6.1 include: Minor updates to supporting use in Python, including virtual environments; Minor tweaks to fish ...
Journal of Nuclear Medicine August 2025, jnumed.125.270536; DOI: https://doi.org/10.2967/jnumed.125.270536 Our schema of rapid predictive dosimetry is an alternative ...
There is often a disconnect between the intended functionality of an artificial intelligence model and its actual functionality once it's integrated into healthcare workflows. Epic has developed an ...
Low trust in autonomous systems remains a significant barrier to adoption and performance. To effectively increase trust in these systems, machines must perform actions to calibrate human trust based ...
To create a machine learning predictive model combining PI-RADS score, PSA density, and clinical variables to predict clinically significant prostate cancer (csPCa). We evaluated a cohort of patients ...
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