Development in artificial intelligence has paved the path for the integration of computational pathology in clinical workflow, improving the accuracy and reducing the workload for medical ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

A research team has developed ChatLeafDisease (ChatLD) — a training-free crop disease classification framework built on the ...

The European Alliance of Associations for Rheumatology—has developed the first classification criteria for hemochromatosis arthropathy (HA) from a unique derivation cohort using rigorous methodology.

Driven by the rapid advancements in artificial intelligence, computational pathology is emerging as a critical engine in the era of precision ...

Poorly represented and opaque data reduces the generalizability of models, creating a direct health risk: in a diverse ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Artificial intelligence is redefining how societies perceive and respond to environmental health threats, particularly in regions where air quality and ...

It didn’t miss, it just confidently misunderstood.” Google’s own description of Gemini for Home’s latest blunder-misidentifying a white dog as a cat-suggests both the promise and pitfalls of embedding ...

Traditional medical imaging follows a linear workflow: capture → transmit → store → analyze → report. This often involves large imaging files (e.g., DICOM for CT or MRI scans), reliance on PACS ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.