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[HTML][HTML] Large language models in healthcare and medical domain: A review
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
A survey of large language models in medicine: Progress, application, and challenge
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …
to their capabilities for understanding and generating human language. While there has …
[HTML][HTML] A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …
excitement and concern due to their ability to effectively respond to free-text queries with …
Matching patients to clinical trials with large language models
Patient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end
framework for zero-shot patient-to-trial matching with large language models. TrialGPT …
framework for zero-shot patient-to-trial matching with large language models. TrialGPT …
Improving large language models for clinical named entity recognition via prompt engineering
Importance The study highlights the potential of large language models, specifically GPT-3.5
and GPT-4, in processing complex clinical data and extracting meaningful information with …
and GPT-4, in processing complex clinical data and extracting meaningful information with …
Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
Benchmarking retrieval-augmented generation for medicine
While large language models (LLMs) have achieved state-of-the-art performance on a wide
range of medical question answering (QA) tasks, they still face challenges with …
range of medical question answering (QA) tasks, they still face challenges with …
The breakthrough of large language models release for medical applications: 1-year timeline and perspectives
Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs)
represent sophisticated models engineered to comprehend, generate, and manipulate text …
represent sophisticated models engineered to comprehend, generate, and manipulate text …
[HTML][HTML] Performance of ChatGPT across different versions in medical licensing examinations worldwide: systematic review and meta-analysis
M Liu, T Okuhara, XY Chang, R Shirabe… - Journal of Medical …, 2024 - jmir.org
Background Over the past 2 years, researchers have used various medical licensing
examinations to test whether ChatGPT (OpenAI) possesses accurate medical knowledge …
examinations to test whether ChatGPT (OpenAI) possesses accurate medical knowledge …
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V)
outperforms human physicians in medical challenge tasks. However, these evaluations …
outperforms human physicians in medical challenge tasks. However, these evaluations …