In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

Eric Malmi received his PhD from Aalto University in 2018 with a dissertation that developed AI methods for linking historical records and family trees. At Google DeepMind he has developed Gemini ...

The risks for pneumonia, influenza A/B, and asthma exacerbations were highest in the NLP-PAC+/NLP-API+ subgroup compared with the other groups. HealthDay News — Natural language processing (NLP) ...

The sharing principle of these references here is for research. If any authors do not want their paper to be listed here, please feel free to contact us. GECCO 2024 Workshop: EGML-EC — 3rd GECCO ...

Scientists have used a type of artificial intelligence, called a large language model, to uncover new insights into how the human brain understands and produces language. (Image credit: Yuichiro Chino ...

Association of PSMA PET results at biochemical recurrence (BCR) with metastasis free survival (MFS) by conventional imaging (CI) in patients with locally advanced or high-risk localized prostate ...

Using nationwide electronic health record (EHR) and cancer registry data from the VA Corporate Data Warehouse, we developed and validated a rule-based NLP algorithm to extract oncologist-determined MM ...

It seems that the language you search on Google could shape your worldview, and not just metaphorically. Harvard researchers have pinpointed a "language bias" in search algorithms from tech giants ...

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The Massachusetts Institute of Technology (MIT) has introduced an innovative algorithm that can learn language solely by watching videos. Mark Hamilton, a PhD student in electrical engineering and ...

Chain-of-Thought (CoT) reasoning enhances the capabilities of LLMs, allowing them to perform more complex reasoning tasks. Despite being primarily trained for next-token prediction, LLMs can generate ...