Accurate Extraction of Response to Treatment Indications in Oncology Accurate assessment of patient response to cancer treatment is paramount in guiding clinical decision-making and optimizing therapeutic outcomes. While large language...
In this post, we explore the utilization of pre-trained models within the Healthcare NLP library by John Snow Labs to map medical terminology to the MedDRA ontology. Specifically, our aim...
The application of natural language processing (NLP) to cancer pathology reports has been focused on detecting cancer cases, largely ignoring precancerous cases. Improving the characterization of precancerous adenomas assists in...
Artificial Intelligence (AI) is revolutionizing healthcare, transforming everything from diagnosis to treatment planning. This talk aims to delve into this exciting frontier, with a specific focus on Med Palm II,...
Our focus in this talk is the art of building bridges between the possible and feasible, in the non-profit healthcare sector, in the context of natural language processing. The large...
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