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Large language models in medicine
Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …
trained in the task in question, causing excitement and concern about their use in healthcare …
Machine learning for synthetic data generation: a review
Y Lu, M Shen, H Wang, X Wang, C van Rechem… - ar** review and ethics checklist
The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and
other emerging technology that is powered by generative artificial intelligence (GenAI) has …
other emerging technology that is powered by generative artificial intelligence (GenAI) has …
Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model
Synthetic electronic health records (EHRs) that are both realistic and privacy-preserving
offer alternatives to real EHRs for machine learning (ML) and statistical analysis. However …
offer alternatives to real EHRs for machine learning (ML) and statistical analysis. However …
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
The recent availability of electronic health records (EHRs) have provided enormous
opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has …
opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has …
[HTML][HTML] Can i trust my fake data–a comprehensive quality assessment framework for synthetic tabular data in healthcare
VB Vallevik, A Babic, SE Marshall, E Severin… - International Journal of …, 2024 - Elsevier
Background Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient
data for training, testing and validation. Synthetic data has been suggested in response to …
data for training, testing and validation. Synthetic data has been suggested in response to …
[HTML][HTML] Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review
Background The launch of ChatGPT (OpenAI) in November 2022 attracted public attention
and academic interest to large language models (LLMs), facilitating the emergence of many …
and academic interest to large language models (LLMs), facilitating the emergence of many …
Twin: Personalized clinical trial digital twin generation
Clinical trial digital twins are virtual patients that reflect personal characteristics in a high
degree of granularity and can be used to simulate various patient outcomes under different …
degree of granularity and can be used to simulate various patient outcomes under different …
[HTML][HTML] Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: example using antiretroviral therapy for …
Objective: Clinical data's confidential nature often limits the development of machine
learning models in healthcare. Generative adversarial networks (GANs) can synthesise …
learning models in healthcare. Generative adversarial networks (GANs) can synthesise …