[HTML][HTML] ChatGPT in healthcare: a taxonomy and systematic review

J Li, A Dada, B Puladi, J Kleesiek, J Egger - Computer Methods and …, 2024 - Elsevier
The recent release of ChatGPT, a chat bot research project/product of natural language
processing (NLP) by OpenAI, stirs up a sensation among both the general public and …

A survey of large language models in medicine: Progress, application, and challenge

H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

Adapted large language models can outperform medical experts in clinical text summarization

D Van Veen, C Van Uden, L Blankemeier… - Nature medicine, 2024 - nature.com
Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …

MIMIC-IV, a freely accessible electronic health record dataset

AEW Johnson, L Bulgarelli, L Shen, A Gayles… - Scientific data, 2023 - nature.com
Digital data collection during routine clinical practice is now ubiquitous within hospitals. The
data contains valuable information on the care of patients and their response to treatments …

Clinical text summarization: adapting large language models can outperform human experts

D Van Veen, C Van Uden, L Blankemeier… - Research …, 2023 - pmc.ncbi.nlm.nih.gov
Sifting through vast textual data and summarizing key information from electronic health
records (EHR) imposes a substantial burden on how clinicians allocate their time. Although …

Counterfactual explanations and algorithmic recourses for machine learning: A review

S Verma, V Boonsanong, M Hoang, K Hines… - ACM Computing …, 2024 - dl.acm.org
Machine learning plays a role in many deployed decision systems, often in ways that are
difficult or impossible to understand by human stakeholders. Explaining, in a human …

Accuracy of ChatGPT, Google Bard, and Microsoft Bing for simplifying radiology reports

KS Amin, MA Davis, R Doshi, AH Haims, P Khosla… - Radiology, 2023 - pubs.rsna.org
Accuracy of ChatGPT, Google Bard, and Microsoft Bing for Simplifying Radiology Reports |
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Muse: Machine unlearning six-way evaluation for language models

W Shi, J Lee, Y Huang, S Malladi, J Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Language models (LMs) are trained on vast amounts of text data, which may include private
and copyrighted content. Data owners may request the removal of their data from a trained …

Computational approaches for modeling and structural design of biological systems: A comprehensive review

E Gayathiri, P Prakash, P Kumaravel… - Progress in Biophysics …, 2023 - Elsevier
The convergence of biology and computational science has ushered in a revolutionary era,
revolutionizing our understanding of biological systems and providing novel solutions to …

Privacy-preserving large language models for structured medical information retrieval

IC Wiest, D Ferber, J Zhu, M van Treeck, SK Meyer… - NPJ Digital …, 2024 - nature.com
Most clinical information is encoded as free text, not accessible for quantitative analysis. This
study presents an open-source pipeline using the local large language model (LLM)“Llama …