The potential of GPT-4 advanced data analysis for radiomics-based machine learning models.

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Title: The potential of GPT-4 advanced data analysis for radiomics-based machine learning models.
Authors: Foltyn-Dumitru M; Division for Computational Radiology & Clinical AI (CCIBonn.ai), Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Rastogi A; Division for Computational Radiology & Clinical AI (CCIBonn.ai), Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Cho J; Division for Computational Radiology & Clinical AI (CCIBonn.ai), Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Schell M; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Mahmutoglu MA; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Kessler T; Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Department of Neurology and Neurooncology Program, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany., Sahm F; Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.; Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany., Wick W; Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Department of Neurology and Neurooncology Program, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany., Bendszus M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Brugnara G; Division for Medical Image Computing (MIC), German Cancer Research Center (DKFZ), Heidelberg, Germany.; Division for Computational Radiology & Clinical AI (CCIBonn.ai), Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Vollmuth P; Division for Medical Image Computing (MIC), German Cancer Research Center (DKFZ), Heidelberg, Germany.; Division for Computational Radiology & Clinical AI (CCIBonn.ai), Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Source: Neuro-oncology advances [Neurooncol Adv] 2024 Dec 23; Vol. 7 (1), pp. vdae230. Date of Electronic Publication: 2024 Dec 23 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101755003 Publication Model: eCollection Cited Medium: Internet ISSN: 2632-2498 (Electronic) Linking ISSN: 26322498 NLM ISO Abbreviation: Neurooncol Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2632-2498
DOI:10.1093/noajnl/vdae230