AI NLP models extract SDOH data from clinical notes

Researchers from the Regenstrief Institute and Indiana University have developed a natural language processing (NLP) system that can identify social risk factors from clinical notes, such as housing or financial needs, to improve patient care and interventions. The NLP technology can accurately extract this information from clinical text, enabling healthcare providers to tailor medical care according to social needs.

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8/22/2023

Identifying COVID-19 cases and extracting patient reported symptoms from Reddit using natural language processing - Scientific Reports

Researchers have developed a natural language processing (NLP) model to identify COVID-19 positive cases and extract symptoms from Reddit posts, providing an automated and efficient method for understanding the disease. The model achieved high accuracy in identifying positive cases and extracted symptoms that were consistent with previous studies. The findings highlight the potential of NLP in analyzing social media data for public health surveillance.

9/1/2023

Amsterdam UMC-led project drives innovation in healthcare with AI and natural language processing

Amsterdam UMC is leading a project to develop Natural Language Processing (NLP) techniques to tackle the challenges of using AI in clinical practice, particularly in dealing with unstructured patient data, while also addressing privacy concerns by creating synthetic patient records. The project aims to make AI tools more reliable and accessible for healthcare professionals in the Dutch health sector, while also ensuring fairness and removing discrimination in AI models.