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Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.
Rudolph J, Huemmer C, Ghesu FC, Mansoor A, Preuhs A, Fieselmann A, Fink N, Dinkel J, Koliogiannis V, Schwarze V, Goller S, Fischer M, Jörgens M, Ben Khaled N, Vishwanath RS, Balachandran A, Ingrisch M, Ricke J, Sabel BO, Rueckel J. Rudolph J, et al. Invest Radiol. 2022 Feb 1;57(2):90-98. doi: 10.1097/RLI.0000000000000813. Invest Radiol. 2022. PMID: 34352804
Interpretation of Thoracic Radiography Shows Large Discrepancies Depending on the Qualification of the Physician-Quantitative Evaluation of Interobserver Agreement in a Representative Emergency Department Scenario.
Rudolph J, Fink N, Dinkel J, Koliogiannis V, Schwarze V, Goller S, Erber B, Geyer T, Hoppe BF, Fischer M, Ben Khaled N, Jörgens M, Ricke J, Rueckel J, Sabel BO. Rudolph J, et al. Diagnostics (Basel). 2021 Oct 11;11(10):1868. doi: 10.3390/diagnostics11101868. Diagnostics (Basel). 2021. PMID: 34679566 Free PMC article.
Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis.
Rudolph J, Schachtner B, Fink N, Koliogiannis V, Schwarze V, Goller S, Trappmann L, Hoppe BF, Mansour N, Fischer M, Ben Khaled N, Jörgens M, Dinkel J, Kunz WG, Ricke J, Ingrisch M, Sabel BO, Rueckel J. Rudolph J, et al. Sci Rep. 2022 Jul 27;12(1):12764. doi: 10.1038/s41598-022-16514-7. Sci Rep. 2022. PMID: 35896763 Free PMC article.
Impact of postoperative baseline MRI on diagnostic confidence and performance in detecting local recurrence of soft-tissue sarcoma of the limb.
Goller SS, Reidler P, Rudolph J, Rückel J, Hesse N, Schmidt VF, Dürr HR, Klein A, Lindner LH, Di Gioia D, Kuhn I, Ricke J, Erber B. Goller SS, et al. Among authors: rudolph j. Skeletal Radiol. 2023 Oct;52(10):1987-1995. doi: 10.1007/s00256-023-04341-4. Epub 2023 May 2. Skeletal Radiol. 2023. PMID: 37129611 Free PMC article.
Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism.
Mansour N, Mittermeier A, Walter R, Schachtner B, Rudolph J, Erber B, Schmidt VF, Heinrich D, Bruedgam D, Tschaidse L, Nowotny H, Bidlingmaier M, Kunz SL, Adolf C, Ricke J, Reincke M, Reisch N, Wildgruber M, Ingrisch M. Mansour N, et al. Among authors: rudolph j. Front Endocrinol (Lausanne). 2023 Aug 24;14:1244342. doi: 10.3389/fendo.2023.1244342. eCollection 2023. Front Endocrinol (Lausanne). 2023. PMID: 37693351 Free PMC article.
739 results