In this webinar, Veysel will delve into the challenges of and need for text summarization and the importance of summarization in various domains, especially in healthcare. He will cover various...
Spark NLP for Healthcare De-Identification module demonstrates superior performance with a 93% accuracy rate compared to ChatGPT’s 60% accuracy on detecting PHI entities in clinical notes. Organizations handling documents containing...
The potential consequences of “hallucinations” or inaccuracies generated by ChatGPT can be particularly severe in clinical settings. Misinformation generated by LLMs could lead to incorrect diagnoses, improper treatment recommendations, or...
Large language models (LLMs) have showcased impressive abilities in understanding and generating natural language across various fields, including medical challenge problems. In a recent study by OpenAI, researchers conducted a...
The field of natural language processing (NLP) is rapidly advancing, and accurate clinical and biomedical NLP models are becoming increasingly important. In this keynote speech, Veysel will present a detailed...
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