A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction | Paper Citation Record

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Language mod- els are few-shot learners,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Large language models in medicine,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Large language models in medicine: the potentials and pitfalls: a narrative review,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Roles and potential of large language models in healthcare: a comprehensive review,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Large language models in healthcare and medical applications: a review,

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This paper cites Testing and evaluation of health care applications of large language models: a systematic review,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Testing and evaluation of health care applications of large language models: a systematic review,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Revolutionizing health care: the transformative impact of large language models in medicine,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Health system-scale language models are all-purpose prediction engines,

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This paper cites Characterizing research domain criteria symptoms among psychiatric inpatients using large language models,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Characterizing research domain criteria symptoms among psychiatric inpatients using large language models,

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This paper cites Hr-bgcn: Predicting readmission for heart failure from electronic health records,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Hr-bgcn: Predicting readmission for heart failure from electronic health records,

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This paper cites A large language model approach to identifying preoperative frailty among older adults from clinical notes,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction A large language model approach to identifying preoperative frailty among older adults from clinical notes,

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This paper cites Development and prospective implementation of a large language model based system for early sepsis prediction,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Development and prospective implementation of a large language model based system for early sepsis prediction,

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This paper cites Trajectory-ordered objectives for self-supervised representation learn- ing of temporal healthcare data using transformers: Model development and evaluation study,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Trajectory-ordered objectives for self-supervised representation learn- ing of temporal healthcare data using transformers: Model development and evaluation study,

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This paper cites First steps toward building natural history of diseases computationally: Lessons learned from the noonan syndrome use case,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction First steps toward building natural history of diseases computationally: Lessons learned from the noonan syndrome use case,

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This paper cites Language-model- based patient embedding using electronic health records facilitates phenotyping, disease forecasting, and progression analysis,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Language-model- based patient embedding using electronic health records facilitates phenotyping, disease forecasting, and progression analysis,

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This paper cites Zero-shot inter- pretable phenotyping of postpartum hemorrhage using large language models,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Zero-shot inter- pretable phenotyping of postpartum hemorrhage using large language models,

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This paper cites Matching patients to clinical trials with large language models,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Matching patients to clinical trials with large language models,

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This paper cites How chatgpt works: a mini review,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction How chatgpt works: a mini review,

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This paper cites Chatent: augmented large language model for expert knowledge retrieval in otolaryngology– head and neck surgery,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Chatent: augmented large language model for expert knowledge retrieval in otolaryngology– head and neck surgery,

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This paper cites Deepseek in healthcare: revealing opportu- nities and steering challenges of a new open-source artificial intelligence frontier,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Deepseek in healthcare: revealing opportu- nities and steering challenges of a new open-source artificial intelligence frontier,

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This paper cites From text to data: Open-source large language models in extracting cancer related medical attributes from german pathology reports,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction From text to data: Open-source large language models in extracting cancer related medical attributes from german pathology reports,

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This paper cites Multimodal fine- tuning of clinical language models for predicting covid-19 outcomes,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Multimodal fine- tuning of clinical language models for predicting covid-19 outcomes,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Fine- tuning large language models for specialized use cases,

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This paper cites A Closer Look at the Limitations of Instruction Tuning.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction A Closer Look at the Limitations of Instruction Tuning

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This paper cites Novel transfer learning approach for medical imaging with limited labeled data,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Novel transfer learning approach for medical imaging with limited labeled data,

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This paper cites A systematic review of few-shot learning in medical imaging,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction A systematic review of few-shot learning in medical imaging,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction A unified framework on generaliz- ability of clinical prediction models,

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This paper cites Multi-site cross-organ calibrated deep learning (muscld): Automated diagnosis of non-melanoma skin cancer,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Multi-site cross-organ calibrated deep learning (muscld): Automated diagnosis of non-melanoma skin cancer,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Transfer learning enables predictions in network biology,

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This paper cites Large language models leverage external knowledge to extend clinical insight beyond language boundaries,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Large language models leverage external knowledge to extend clinical insight beyond language boundaries,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Retrieval- augmented generation for knowledge-intensive nlp tasks,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Retrieval augmentation reduces hallucination in conversation,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Retrieval-augmented generation for generative artificial intelligence in health care,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Almanac—retrieval-augmented language models for clinical medicine,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Development of a liver disease–specific large language model chat interface using retrieval-augmented generation,

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This paper cites Medrag: Enhancing retrieval-augmented generation with knowledge graph-elicited reasoning for healthcare copilot,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Medrag: Enhancing retrieval-augmented generation with knowledge graph-elicited reasoning for healthcare copilot,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Medical graph rag: Evidence-based medical large language model via graph retrieval-augmented generation,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Knowledge-aware Zero-Shot Learning: Survey and Perspective

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Llms are not zero-shot reasoners for biomedical information extraction,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Characterizing llm abstention behavior in science qa with context perturbations,

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This paper cites Delirium,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Delirium,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction MIMIC-IV, a freely accessible electronic health record dataset,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Gusmao-Flores, J

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This paper cites A large language model for delirium prediction in the intensive care unit using structured electronic health records,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction A large language model for delirium prediction in the intensive care unit using structured electronic health records,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Gpt-5.2,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Will large language models transform clinical prediction?

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This paper cites Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Medcalc-bench: Evaluating large language models for medical calcu- lations,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

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This paper cites Limitations of large language models in clinical problem-solving aris- ing from inflexible reasoning,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Limitations of large language models in clinical problem-solving aris- ing from inflexible reasoning,

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This paper cites Less is more: information needs, information wants, and what makes causal models useful,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Less is more: information needs, information wants, and what makes causal models useful,

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This paper cites Does Prompt Formatting Have Any Impact on LLM Performance?.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Does Prompt Formatting Have Any Impact on LLM Performance?

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This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Large language models can be easily distracted by irrelevant context,

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This paper cites Deiden- tifying medical documents with local, privacy-preserving large language models: the llm-anonymizer,.

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Deiden- tifying medical documents with local, privacy-preserving large language models: the llm-anonymizer,

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A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction Focused chain-of-thought: Efficient llm reasoning via structured input information,

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