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Open Access 26-04-2023 | Artificial Intelligence | Commentary (invited article)

Does GPT4 dream of counting electric nodules?

Author: Christian Blüthgen

Published in: European Radiology | Issue 10/2023

Excerpt

The year 2022 was nothing short of exceptional for artificial intelligence (AI) research, particularly in the realm of generative AI. Generative AI systems learn to model training data (e.g., text, images) and can synthesize new data, without merely copying the initial data. …

Introducing ChatGPT. https://openai.com/blog/chatgpt Accessed Apr 01 2023

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Shen Y, Heacock L, Elias J et al (2023) ChatGPT and other large language models are double-edged swords. Radiology 307(2):e230163. https://doi.org/10.1148/radiol.230163

Bubeck S, Chandrasekaran V, Eldan R et al (2023) Sparks of artificial general intelligence: early experiments with GPT-4. arXiv. https://doi.org/10.48550/arXiv.2303.12712

Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the future of AI | Lex Fridman Podcast #367, (2023) [Online Video]. Available: https://www.youtube.com/watch?v=L_Guz73e6fw. Accessed 10 Apr 2023

How to get ChatGPT regulatory approved as a medical device. Hardian Health. https://www.hardianhealth.com/blog/how-to-get-regulatory-approval-for-medical-large-language-models Accessed 02 Apr 2023

Liu Z, Yu X, Zhang L et al (2023) DeID-GPT: zero-shot medical text de-identification by GPT-4. arXiv. https://doi.org/10.48550/arXiv.2303.11032

Schick T, Dwivedi-Yu J, Dessì R et al (2023) Toolformer: language models can teach themselves to use tools. arXiv. https://doi.org/10.48550/arXiv.2302.04761

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Eloundou T, Manning S, Mishkin P, Rock D (2023) GPTs are GPTs: an early look at the labor market impact potential of large language models. arXiv. https://doi.org/10.48550/arXiv.2303.10130

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Chambon P, Bluethgen C, Langlotz C, Chaudhari A (2022) Adapting pretrained vision-language foundational models to medical imaging domains. NeurIPS 2022 Foundation models for decision making workshop. https://doi.org/10.48550/arxiv.2210.04133

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Chambon P, Bluethgen C, Delbrouck JB et al (2022) RoentGen: vision-language foundation model for chest X-ray generation. arXiv. https://doi.org/10.48550/arXiv.2211.12737

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Zhang S, Xu Y, Usuyama N et al (2023) Large-scale domain-specific pretraining for biomedical vision-language processing. arXiv. https://doi.org/10.48550/arXiv.2303.00915

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Dick PK (2010) Do androids dream of electric sheep? Orion. [Online]. Available: https://books.google.ch/books?id=MoEO9onVftUC. Accessed 05 Apr 2023

Title: Does GPT4 dream of counting electric nodules?
Author: Christian Blüthgen
Publication date: 26-04-2023
Publisher: Springer Berlin Heidelberg
Keyword: Artificial Intelligence
Published in: European Radiology / Issue 10/2023
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-023-09671-4

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Does GPT4 dream of counting electric nodules?

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