Abstract: Artificial intelligence (AI) has advanced the classification and management of speech and language disorders, by learning diagnostic patterns from acoustic, prosodic, and linguistic signals.

AI success requires sustained investment, iterative experimentation, and a commitment to evolve alongside the technology.

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Kaitlyn Wells If your home office documents, family medical records, bills, ...

Abstract: Attention mechanisms are now a mainstay architecture in neural networks and improve the performance of biomedical text classification tasks. In particular, models that perform automated ...

This project provides a powerful and flexible PDF analysis microservice built with Clean Architecture principles. The service enables OCR, segmentation, and classification of different parts of PDF ...