Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

A new study shows how routine blood samples may give doctors early insights into injury severity and patient survival after ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

Natural language processing (NLP) algorithms can identify a subgroup of children with asthma who have a high risk for acute ...

On Threads, the algorithm-configuration feature is tied to Instagram’s larger efforts to revamp its main app to emphasize ...

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and ...

Generative AI tools, including ChatGPT, Claude and Gemini, can now create content, combine information and even mimic ...

Box (BOX) is evolving into the permissioned memory layer for enterprises, positioning itself as a critical platform in the AI ...

BACKGROUND: Early detection of atrial fibrillation (AF) is essential for preventing ischemic stroke and other cardiovascular complications. However, the incidence and prognosis of AF in the general ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

A new vision platform powered by dual AI engines and advanced imaging tools promises sharper defect detection, faster ...

Background: Determining optimal timing for intensifying the frequency of physician encounters for type 2 diabetes mellitus (T2DM) requires trade-offs between timely care and clinician burden. We aimed ...