This talk presents new levels of accuracy that have very recently been achieved, on public and independently reproducible benchmarks, on the three most common use cases for language models in...
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,...
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