The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.

The Centers for Medicare and Medicaid Services (CMS) will implement prior authorization requirements for certain traditional ...

Implementing a traditional machine learning model can be more cost-effective than developing a cutting-edge, customized LLM—particularly if an organization has already built the ML model.

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying ...

The Centers for Medicare & Medicaid Services (CMS) announced a new experimental model late last week to streamline some prior ...

A machine learning model using random forest algorithms outperforms neural networks and traditional regression in predicting tsunami early warnings for Tofino, B.C., but all models benefit from ...

CMS has unveiled the Wasteful and Inappropriate Service Reduction model, a new Innovation Center initiative that will add prior authorization for some traditional fee-for-service Medicare services.

Machine learning can be used to create a brutal foe. IBM’s Deep Blue and Google’s DeepMind AlphaStar have proven that. However, that isn’t always the desirable—not only because it raises ...

If you’re using a generative AI model, you enter a prompt describing the output you’d like, and the program gives it to you, whether it’s in the form of text, code, images, or—increasingly ...

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying ...