Researchers conducted a review of studies on AI use in oncology nursing to determine its potential role in clinical practice.

Community driven content discussing all aspects of software development from DevOps to design patterns. Over the past few months, I have been helping data engineers, developers, and machine learning ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

As discussed in Chapter 3, extending safety engineering to cyber-physical systems that include artificial intelligence (AI) components brings a new set of challenges that suggest changing how this ...