A simplified machine learning-based low-density lipoprotein cholesterol (LDL-C) equation provides results that are comparable ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

Analytical chemists have been using machine learning long before ChatGPT made headlines. Now, as generative AI enters the ...

In traditional software engineering, serious bugs become regression tests. We should apply the same rigorous approach to ...

BACKGROUND: Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, ...

Wadhwani AI’s roadmap puts foundational learning, teachers and practical AI literacy ahead of chatbots in classrooms.

Enterprises will find success with a complete agentic AI environment where agents plan, retrieve, remember, and act reliably ...

OpenAI and Anthropic's July AI agent breaches revive Nick Bostrom's paperclip maximizer thought experiment and instrumental ...

Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...

MathWorks’ Tianyi Zhu talks about the key factors involved in integrating agentic AI into engineering processes.

AI can write essays and code, but spreadsheets remain a weak spot. Researchers are building a new kind of model designed to ...

Instead of sporadically updating antiquated models, CMS must develop a new risk-adjustment platform. This will require the technology and analytics infrastructure to evaluate, deploy, and update ...