BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...

VARANASI: A landmark Indian study, \"Unveiling Oral Cancer’s Molecular Blueprint: A Novel Classification to Guide Precision Therapy,\" published in the .

A more accurate condition name has the potential to foster better care. In medicine, names of diseases have been changed to ...

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

ABS and AMOG Consulting have signed a memorandum of understanding (MOU) to collaborate on an offshore mooring digital ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Federico Vincenti and Carola Valente Della Rovere of Valente Associati GEB Partners/Crowe Valente explain how Italy ...

Foreign investors must assess ownership caps, conditional sectors, licensing scope, capital, and treaty limits before ...