An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...

The newly reinstated Anthropic model topped charts for automating work. Here's what that means for the future.

Dublin-based BeaconSites reports a 14% Perplexity AI citation rate in SurgeGraph's June 2026 benchmark, sevenfold above ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

Every channel in your plan quietly forces a trade-off. Search and social are easy to target and measure, so they win the ...

INOVIQ retools EXO-OC path after sample quality setback; expanded retrospective data invalid, shifting to ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer ...

note 1: Small data velocity is a rough evaluation of algorithm's efficiency on small data. For more detailed analysis, please refer to next paragraph. note 2: some algorithms feature faster than RAM ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Abstract: The interacting multiple model (IMM) algorithm has been used in many applications. However, performance analysis of the IMM algorithm is difficult because it uses a set of Kalman filters ...