pmid stringlengths 8 8 | title stringlengths 3 289 | year int64 2.02k 2.03k | journal stringlengths 3 221 | doi stringclasses 1
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value | abstract stringlengths 115 3.67k | authors stringlengths 3 798 | cluster class label 5
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38917600 | Pre-trained language models in medicine: A survey. | 2,024 | Artificial intelligence in medicine | With the rapid progress in Natural Language Processing (NLP), Pre-trained Language Models (PLM) such as BERT, BioBERT, and ChatGPT have shown great potential in various medical NLP tasks. This paper surveys the cutting-edge achievements in applying PLMs to various medical NLP tasks. Specifically, we first brief PLMS an... | Luo X; Deng Z; Yang B; Luo MY | 10 | |||
37881016 | Artificial intelligence and increasing misinformation. | 2,024 | The British journal of psychiatry : the journal of mental science | With the recent advances in artificial intelligence (AI), patients are increasingly exposed to misleading medical information. Generative AI models, including large language models such as ChatGPT, create and modify text, images, audio and video information based on training data. Commercial use of generative AI is exp... | Monteith S; Glenn T; Geddes JR; Whybrow PC; Achtyes E; Bauer M | 0-1 | |||
38366043 | The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives. | 2,024 | Journal of medical systems | Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs) represent sophisticated models engineered to comprehend, generate, and manipulate text resembling human language on an extensive scale. They are transformer-based deep learning architectures, obtained through the scaling of model size,... | Cascella M; Semeraro F; Montomoli J; Bellini V; Piazza O; Bignami E | 10 | |||
40172683 | Hyper-DREAM, a Multimodal Digital Transformation Hypertension Management Platform Integrating Large Language Model and Digital Phenotyping: Multicenter Development and Initial Validation Study. | 2,025 | Journal of medical systems | Within the mHealth framework, systematic research that collects and analyzes patient data to establish comprehensive digital health archives for hypertensive patients, and leverages large language models (LLMs) to assist clinicians in health management and Blood Pressure (BP) control remains limited. In this study, our... | Wang Y; Zhu T; Zhou T; Wu B; Tan W; Ma K; Yao Z; Wang J; Li S; Qin F; Xu Y; Tan L; Liu J; Wang J | 0-1 |
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