Algorithms are currently used to assist in a wide array of health care decisions. Despite the general utility of these health care algorithms, there is growing recognition that they may lead to ...

More experience in a given situation tends to make us feel we are getting better at making decisions. As we gain expertise, our judgments get quicker, too. But quick doesn’t always mean accurate. So, ...

The purpose of this course is to explore collective decision making from an algorithmic point of view. We study settings where groups of agents need to make a joint decision by aggregating preferences ...

It contains two main parts: fNIRS risk detection and fNIRS integrated reinforcement learning (RL). The first part covers real-time pre-processing, feature extraction, and classification models. The ...

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...

Artificial intelligence (AI) and machine learning (ML) are not just practical tools for improving efficiency, but also a source of empowerment for business leaders. They can now make decisions with a ...