The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
In her 35 years as a psychologist, NTNU researcher Audrey van der Meer has studied everything from baby swimming to what ...
A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...
DONGGUAN, GUANGDONG, CHINA, January 13, 2026 /EINPresswire.com/ -- Globally, the medical industry is undergoing a major ...
Overview: AI is already improving healthcare, helping doctors detect diseases faster and make more accurate treatment decisions.Hospitals use AI to save time an ...
Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, scientists could figure out which parts of the brain are activated when ...
Medical Image Management market growth is driven by escalating imaging volumes, digital transformation across healthcare, and mounting demand for interoperability and secure image exchange.
During the World Economic Forum in Davos, executives considered some of the biggest challenges AI could present.
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
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