Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
AIM: The “2026 Guideline for the Early Management of Patients With AIS” replaces the “2018 Guidelines for the Early Management of Patients With AIS” and the 2019 update to reflect recent advances in ...
AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...
Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
The Department of Justice has declared a victory for renters after reaching a deal with a software company over a so-called secret algorithm used to set home rental prices. Landlords will no longer be ...
Objective: To develop and validate a machine learning (ML)-based prediction model of Bethesda III nodules and create a nomogram based on the best model. Methods: We collected data on patients with ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Objective: To develop and validate a machine learning (ML)-based model for predicting stroke-associated pneumonia (SAP) risk in older adult hemorrhagic stroke patients. Methods: A retrospective ...
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