Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...
As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
New regulations aim to prevent discrimination from artificial intelligence and automated systems as it relates to employment.
In response to systematic censorship by social media, Palestinians and their allies have built a playbook of tactics to beat ...
Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
I n the rapidly evolving field of Data Science, technical skills such as programming, statistics, and machine learning are ...
New York is the first state in the US to require online retailers that use personalized pricing to display a disclosure. The ...
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OPINION | AI Ethics In Cyber Defence: How Far Is Too Far?
AI is transforming cybersecurity with faster threat detection and automation, but it’s also sparking urgent ethical questions ...
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