Clinical text datasets for medical artificial intelligence and large language models—a systematic review

J Wu, X Liu, M Li, W Li, Z Su, S Lin, L Garay, Z Zhang… - NEJM AI, 2024 - ai.nejm.org
Privacy and ethical considerations limit access to large-scale clinical datasets, particularly
clinical text data, which contain extensive and diverse information and serve as the …

[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang - High-Confidence Computing, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Jailbreaking black box large language models in twenty queries

P Chao, A Robey, E Dobriban, H Hassani… - arXiv preprint arXiv …, 2023 - arxiv.org
There is growing interest in ensuring that large language models (LLMs) align with human
values. However, the alignment of such models is vulnerable to adversarial jailbreaks, which …

[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges

Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …

Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks

K Zhang, J Yu, Z Yan, Y Liu, E Adhikarla, S Fu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we introduce a unified and generalist Biomedical Generative Pre-trained
Transformer (BiomedGPT) model, which leverages self-supervision on large and diverse …

Medalign: A clinician-generated dataset for instruction following with electronic medical records

SL Fleming, A Lozano, WJ Haberkorn… - Proceedings of the …, 2024 - ojs.aaai.org
The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …

Survey on factuality in large language models: Knowledge, retrieval and domain-specificity

C Wang, X Liu, Y Yue, X Tang, T Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

Safe rlhf: Safe reinforcement learning from human feedback

J Dai, X Pan, R Sun, J Ji, X Xu, M Liu, Y Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
With the development of large language models (LLMs), striking a balance between the
performance and safety of AI systems has never been more critical. However, the inherent …

[HTML][HTML] Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review

RK Garg, VL Urs, AA Agarwal… - Health Promotion …, 2023 - ncbi.nlm.nih.gov
Background: ChatGPT is an artificial intelligence based tool developed by OpenAI
(California, USA). This systematic review examines the potential of ChatGPT in patient care …