1d
A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
LLMs-gone-rogue dominated coverage, but had nothing to do with the targeting. Instead, it was choices made by human beings, over many years, that gave us this atrocity ...
As the weather becomes less predictable, we need forecasts and apps that are better at telling us what we don’t know.
A little more than three years after ChatGPT went public, the argument over artificial intelligence is no longer just about ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
2don MSN
Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Matt Garman helps make your online life – your Starbucks order, your Netflix binge, your Pinterest browsing– possible.
The arrival of AI-generated research papers marks a turning point that could radically accelerate discovery—or drown it in ...
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results