We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

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In early 2024, executives at artificial intelligence start-up Anthropic ramped up an ambitious project they sought to keep quiet. “Project Panama is our effort to destructively scan all the books in ...

Abstract: Extracting structured data from scanned invoices is a growing need across digital operations. Traditional OCR (Optical Character Recognition) systems, although widely used, often fail to ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Natural language processing (NLP) has advanced in recent years, driven by the increasing demand for automated text processing in various applications, such as machine translation, sentiment analysis, ...

Instead of using text tokens, the Chinese AI company is packing information into images. An AI model released by the Chinese AI company DeepSeek uses new techniques that could significantly improve AI ...

Tea contains natural caffeine that can be separated and isolated through the classic DCM extraction method. Tesla offers Elon Musk $29 billion Doctors discover bullet fragment from the neck of boy who ...

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