The effects of P2 segment of posterior cerebral artery to thalamus blood supply pattern on gait in cerebral small vessel disease: A 7 T MRI based study

Guo, Cen; Wang, Bei; Huo, Yajing; Shan, Lili; Qiao, Tianci; Yang, Zidong; Liu, Mingyuan; Wang, Yilin; Liu, Guanshu; Liu, Yajie; Wang, He; Han, Yan

doi:10.1016/j.nbd.2023.106372

Neurobiology of Disease

2024

DOI: 10.1016/j.nbd.2023.106372

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The effects of P2 segment of posterior cerebral artery to thalamus blood supply pattern on gait in cerebral small vessel disease: A 7 T MRI based study

Cen Guo,

Bei Wang,

Yajing Huo

et al.

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2024

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Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics

Yuan,

Chen,

Zhu

et al. 2024

iRADIOLOGY

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BackgroundThe integration of 7 Tesla (7T) magnetic resonance imaging (MRI) with advanced multimodal artificial intelligence (AI) models represents a promising frontier in neuroimaging. The superior spatial resolution of 7TMRI provides detailed visualizations of brain structure, which are crucial forunderstanding complex central nervous system diseases and tumors. Concurrently, the application of multimodal AI to medical images enables interactive imaging‐based diagnostic conversation.MethodsIn this paper, we systematically investigate the capacity and feasibility of applying the existing advanced multimodal AI model ChatGPT‐4V to 7T MRI under the context of brain tumors. First, we test whether ChatGPT‐4V has knowledge about 7T MRI, and whether it can differentiate 7T MRI from 3T MRI. In addition, we explore whether ChatGPT‐4V can recognize different 7T MRI modalities and whether it can correctly offer diagnosis of tumors based on single or multiple modality 7T MRI.ResultsChatGPT‐4V exhibited accuracy of 84.4% in 3T‐vs‐7T differentiation and accuracy of 78.9% in 7T modality recognition. Meanwhile, in a human evaluation with three clinical experts, ChatGPT obtained average scores of 9.27/20 in single modality‐based diagnosis and 21.25/25 in multiple modality‐based diagnosis. Our study indicates that single‐modality diagnosis and the interpretability of diagnostic decisions in clinical practice should be enhanced when ChatGPT‐4V is applied to 7T data.ConclusionsIn general, our analysis suggests that such integration has promise as a tool to improve the workflow of diagnostics in neurology, with a potentially transformative impact in the fields of medical image analysis and patient management.

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Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics

Yuan,

Chen,

Zhu

et al. 2024

iRADIOLOGY

View full text Add to dashboard Cite

show abstract

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The effects of P2 segment of posterior cerebral artery to thalamus blood supply pattern on gait in cerebral small vessel disease: A 7 T MRI based study

Cited by 1 publication

References 35 publications

Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics

Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics

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