A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

Speaking at NVIDIA GTC, healthcare leaders described the need for AI tools that improve clinician and patient experiences.

Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...

Live Science spoke with Dr. Joe Alexander of NTT Research about "digital twins" and the development of an autonomous device ...

The application of artificial intelligence (AI) for healthcare is transforming patient treatment, from advanced analytics to computerized automated diagnosis. However, with the increased application ...

Health systems have a large amount of patient data through EHRs and other digital platforms managing administrative tasks and clinical care. The de-identified patient data is useful for creating large ...

When patients are prescribed complex therapies — like specialty drugs, cell and gene treatments, or high-cost biologics — the path to treatment is rarely straightforward. Filling a prescription can ...

Last year, I faced a harrowing experience that would change my perspective on healthcare forever. What began as an emergency surgery to combat a flesh-eating bacteria quickly turned into a nightmare.