BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
13h
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
3d
Rising Demand: Why Door-to-Door Shipping from China to Canada Has Become a Preferred Import Option
SHENZHEN, GUANGDONG, CHINA, January 9, 2026 /EINPresswire.com/ -- Shenzhen Senghor Sea & Air Logistics Co., Ltd., a ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Explore the AI Maturity Model for Cybersecurity—a practical framework to measure AI adoption, reduce risk, and improve ...
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