[HTML][HTML] Artificial general intelligence for radiation oncology

C Liu, Z Liu, J Holmes, L Zhang, L Zhang, Y Ding… - Meta-radiology, 2023 - Elsevier
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …

Multimodality of ai for education: Towards artificial general intelligence

GG Lee, L Shi, E Latif, Y Gao, A Bewersdorf… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents a comprehensive examination of how multimodal artificial intelligence
(AI) approaches are paving the way towards the realization of Artificial General Intelligence …

Holistic evaluation of gpt-4v for biomedical imaging

Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …

EXACT-Net: EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy

H Hooshangnejad, X Feng, G Huang, R Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Lung cancer is a devastating disease with the highest mortality rate among cancer types.
Over 60% of non-small cell lung cancer (NSCLC) patients, which accounts for 87% of …

Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report

J Holmes, L Zhang, Y Ding, H Feng, Z Liu, T Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Purpose: To introduce the concept of using large language models (LLMs) to re-label
structure names in accordance with the American Association of Physicists in Medicine …

Reasoning before comparison: LLM-enhanced semantic similarity metrics for domain specialized text analysis

S Xu, Z Wu, H Zhao, P Shu, Z Liu, W Liao, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we leverage LLM to enhance the semantic analysis and develop similarity
metrics for texts, addressing the limitations of traditional unsupervised NLP metrics like …

Large language models encode radiation oncology domain knowledge: Performance on the american college of radiology standardized examination

NG Thaker, N Redjal, A Loaiza-Bonilla… - AI in Precision …, 2024 - liebertpub.com
Introduction: The integration of large language models (LLMs) into medical education will
represent a significant paradigm shift, offering transformative potential in how medical …

A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy

C Hurkmans, JE Bibault, KK Brock, W van Elmpt… - Radiotherapy and …, 2024 - Elsevier
Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …