Large language models for error detection in radiology reports: a comparative analysis between closed-source and privacy-compliant open-source models

Authors: Babak Salam, Claire Stüwe, Sebastian Nowak, Alois M. Sprinkart, Maike Theis, Dmitrij Kravchenko, Narine Mesropyan, Tatjana Dell, Christoph Endler, Claus C. Pieper, Daniel L. Kuetting, Julian A. Luetkens, Alexander Isaak

Source: Eur Radiol

Subject Terms: Imaging Informatics and Artificial Intelligence

Access URL: https://pubmed.ncbi.nlm.nih.gov/39979623

Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII

Authors: Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Kocak, Alessandra Borgheresi, Andrea Ponsiglione, Arnaldo Stanzione, Emmanouil Koltsakis, Fabio Martino Doniselli, Federica Vernuccio, Lorenzo Ugga, Matthaios Triantafyllou, Merel Huisman, Michail E. Klontzas, Romina Trotta, Roberto Cannella, Salvatore Claudio Fanni, Renato Cuocolo

Source: Eur Radiol
European Radiology, 35, 8, pp. 4533-4545

Subject Terms: Reproducibility of results, Artificial intelligence, Radiomics, Imaging Informatics and Artificial Intelligence, Intra-observer variability, Medical Imaging - Radboud University Medical Center, Inter-observer variability

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39969552
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/320713
https://hdl.handle.net/11588/1003624
https://repository.ubn.ru.nl//bitstream/handle/2066/320713/320713.pdf
https://hdl.handle.net/2066/320713
https://hdl.handle.net/11386/4903955
https://doi.org/10.1007/s00330-025-11443-1
https://hdl.handle.net/11588/1003624
https://doi.org/10.1007/s00330-025-11443-1

RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports

Authors: Lewis Howell, Amir Zarei, Tze Min Wah, James H. Chandler, Shishir Karthik, Zara Court, Helen Ng, James R. McLaughlan

Source: Eur Radiol

Subject Terms: Imaging Informatics and Artificial Intelligence

Access URL: https://pubmed.ncbi.nlm.nih.gov/39945809

Radiomics for differentiating radiation-induced brain injury from recurrence in gliomas: systematic review, meta-analysis, and methodological quality evaluation using METRICS and RQS

Authors: Burak Kocak, Ismail Mese, Ece Ates Kus

Source: Eur Radiol

Subject Terms: Imaging Informatics and Artificial Intelligence

Access URL: https://pubmed.ncbi.nlm.nih.gov/39937273

CXR-LLaVA: a multimodal large language model for interpreting chest X-ray images

Authors: Seowoo Lee, Jiwon Youn, Hyungjin Kim, Mansu Kim, Soon Ho Yoon

Source: Eur Radiol

Subject Terms: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Imaging Informatics and Artificial Intelligence, Computer Science - Artificial Intelligence, Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2310.18341

Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes

Authors: Jingyu Zhong, Xianwei Liu, Junjie Lu, Jiarui Yang, Guangcheng Zhang, Shiqi Mao, Haoda Chen, Qian Yin, Qingqing Cen, Run Jiang, Yang Song, Minda Lu, Jingshen Chu, Yue Xing, Yangfan Hu, Defang Ding, Xiang Ge, Huan Zhang, Weiwu Yao

Source: Eur Radiol

Subject Terms: Models, Statistical, Radiomics, Imaging Informatics and Artificial Intelligence, Sample Size, Humans

Access URL: https://pubmed.ncbi.nlm.nih.gov/39789271

Development and validation of a radiopathomics model for predicting liver metastases of colorectal cancer

Authors: Han-Hui Jing, Di Hao, Xue-Jun Liu, Ming-Juan Cui, Kui-Jin Xue, Dong-Sheng Wang, Jun-Hao Zhang, Yun Lu, Guang-Ye Tian, Shang-Long Liu

Source: Eur Radiol

Subject Terms: Male, Adult, Liver Neoplasms, Middle Aged, 03 medical and health sciences, 0302 clinical medicine, Imaging Informatics and Artificial Intelligence, ROC Curve, Humans, Female, Colorectal Neoplasms, Tomography, X-Ray Computed, Aged, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/39621056

A critical comparative study of the performance of three AI-assisted programs for bone age determination

Authors: Johanna Pape, Maciej Rosolowski, Roland Pfäffle, Anne B. Beeskow, Daniel Gräfe

Source: Eur Radiol

Subject Terms: Male, Adolescent, Infant, Reproducibility of Results, 03 medical and health sciences, 0302 clinical medicine, Imaging Informatics and Artificial Intelligence, Artificial Intelligence, Age Determination by Skeleton, Child, Preschool, Humans, Female, Child, Software, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/39499301

SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation

Authors: Möller, Hendrik, Graf, Robert, Schmitt, Joachim, Keinert, Benjamin, Schön, Hanna, Atad, Matan, Sekuboyina, Anjany, Streckenbach, Felix, Kofler, Florian, Kroencke, Thomas, Bette, Stefanie, Willich, Stefan N, Keil, Thomas, Niendorf, Thoralf, Pischon, Tobias, Endemann, Beate, Menze, Bjoern, Rueckert, Daniel, Kirschke, Jan S

Contributors: University of Zurich, Möller, Hendrik

Source: Eur Radiol

Subject Terms: Male, Adult, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 610 Medicine & health, Deep Learning, Imaging Informatics and Artificial Intelligence, Spine, Magnetic resonance imaging, Intervertebral disc, Vertebral body, Deep learning, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering, 2741 Radiology, Nuclear Medicine and Imaging, Humans, Whole Body Imaging, Intervertebral Disc, Aged, ddc:610, Image and Video Processing (eess.IV), Electrical Engineering and Systems Science - Image and Video Processing, Middle Aged, Magnetic Resonance Imaging, ddc, Semantics, Cardiovascular and Metabolic Diseases, Integrative Biomedicine [Topic 3], Female, Technology Platforms, 11493 Department of Quantitative Biomedicine

File Description: application/pdf; 2024_Springer.pdf - application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39470797
http://arxiv.org/abs/2402.16368
https://edoc.mdc-berlin.de/id/eprint/24873/2/24873suppl.pdf
https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1169347
https://opus.bibliothek.uni-augsburg.de/opus4/files/116934/116934.pdf
https://doi.org/10.1007/s00330-024-11155-y
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/116934
https://mediatum.ub.tum.de/doc/1773940/document.pdf
https://www.zora.uzh.ch/id/eprint/269399/
https://doi.org/10.5167/uzh-269399

Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation

Authors: Marc Sebastian Huppertz, Robert Siepmann, David Topp, Omid Nikoubashman, Can Yüksel, Christiane Katharina Kuhl, Daniel Truhn, Sven Nebelung

Source: Eur Radiol
European radiology 35(3), 1111-1121 (2024). doi:10.1007/s00330-024-11115-6

Subject Terms: Male, Diagnostic Imaging, Adult, Imaging Informatics and Artificial Intelligence, Image Interpretation, Computer-Assisted, Humans, Reproducibility of Results, Female, Middle Aged, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39422726
https://publications.rwth-aachen.de/record/996866

Automatic structuring of radiology reports with on-premise open-source large language models

Authors: Piotr Woźnicki, Caroline Laqua, Ina Fiku, Amar Hekalo, Daniel Truhn, Sandy Engelhardt, Jakob Kather, Sebastian Foersch, Tugba Akinci D’Antonoli, Daniel Pinto dos Santos, Bettina Baeßler, Fabian Christopher Laqua

Source: Eur Radiol

Subject Terms: Imaging Informatics and Artificial Intelligence

Access URL: https://pubmed.ncbi.nlm.nih.gov/39390261

Computed tomography referral guidelines adherence in Europe: insights from a seven-country audit

Authors: Clara Singer, Mor Saban, Osnat Luxenburg, Lucia Bergovoy Yellin, Monika Hierath, Jacob Sosna, Alexandra Karoussou-Schreiner, Boris Brkljačić

Source: Eur Radiol

Subject Terms: Male, Adult, Adolescent, Referral and Consultation / statistics & numerical data, Young Adult, Practice Patterns, Physicians' / statistics & numerical data, Humans, Practice Patterns, Physicians', Child, Referral and Consultation, Aged, Aged, 80 and over, Medical Audit, Infant, Referral and Consultation / standards, Middle Aged, Europe, Imaging Informatics and Artificial Intelligence, Tomography, X-Ray Computed / standards, Child, Preschool, Practice Guidelines as Topic, Guideline Adherence / statistics & numerical data, Female, Guideline Adherence, Tomography, X-Ray Computed / statistics & numerical data, Tomography, X-Ray Computed

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39384590
https://urn.nsk.hr/urn:nbn:hr:105:295611
https://doi.org/10.1007/s00330-024-11083-x

Reducing energy consumption in musculoskeletal MRI using shorter scan protocols, optimized magnet cooling patterns, and deep learning sequences

Authors: Saif Afat, Julian Wohlers, Judith Herrmann, Andreas S. Brendlin, Sebastian Gassenmaier, Haidara Almansour, Sebastian Werner, Jan M. Brendel, Alexander Mika, Christoph Scherieble, Mike Notohamiprodjo, Sergios Gatidis, Konstantin Nikolaou, Thomas Küstner

Source: Eur Radiol

Subject Terms: Deep Learning, Imaging Informatics and Artificial Intelligence, Germany, Humans, Magnetic Resonance Imaging, Musculoskeletal System

Access URL: https://pubmed.ncbi.nlm.nih.gov/39242400

Comparative analysis of GPT-4-based ChatGPT’s diagnostic performance with radiologists using real-world radiology reports of brain tumors

Authors: Yasuhito Mitsuyama, Hiroyuki Tatekawa, Hirotaka Takita, Fumi Sasaki, Akane Tashiro, Satoshi Oue, Shannon L. Walston, Yuta Nonomiya, Ayumi Shintani, Yukio Miki, Daiju Ueda

Source: Eur Radiol

Subject Terms: Male, Adult, Brain Neoplasms, Middle Aged, Magnetic Resonance Imaging, 3. Good health, Diagnosis, Differential, 03 medical and health sciences, Generative Artificial Intelligence, 0302 clinical medicine, Imaging Informatics and Artificial Intelligence, Radiologists, Humans, Female

Access URL: https://pubmed.ncbi.nlm.nih.gov/39198333

Validation of a commercially available CAD-system for lung nodule detection and characterization using CT-scans

Authors: Paramasamy, Jasika, Mandal, Souvik, Blomjous, Maurits, Mulders, Ties, Bos, Daniel, Aerts, Joachim G.JV., Vanapalli, Prakash, Challa, Vikash, Sathyamurthy, Saigopal, Devi, Ranjana, Jain, Ritvik, Visser, Jacob J.

Source: Eur Radiol

Subject Terms: Male, Adult, COMPUTER-AIDED DETECTION, Lung Neoplasms, Computer-assisted detection, GUIDELINES, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Humans, PULMONARY NODULES, Lung, Retrospective Studies, Aged, Aged, 80 and over, Science & Technology, Radiology, Nuclear Medicine & Medical Imaging, 3202 Clinical sciences, Validation study, Solitary Pulmonary Nodule, Reproducibility of Results, 1103 Clinical Sciences, Middle Aged, Nuclear Medicine & Medical Imaging, Imaging Informatics and Artificial Intelligence, Early detection of cancer, Radiographic Image Interpretation, Computer-Assisted, Multiple Pulmonary Nodules, Female, Lung cancer, Tomography, X-Ray Computed, Life Sciences & Biomedicine

Access URL: https://pubmed.ncbi.nlm.nih.gov/39042303

Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review

Authors: Yi Xiang Tay, Shane Foley, Ronan Killeen, Marcus E. H. Ong, Robert Chun Chen, Lai Peng Chan, May San Mak, Jonathan P. McNulty

Source: Eur Radiol

Subject Terms: Diagnostic Imaging, 03 medical and health sciences, 0302 clinical medicine, Imaging Informatics and Artificial Intelligence, Practice Guidelines as Topic, Humans, Radiology, Decision Support Systems, Clinical, Referral and Consultation, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/39002059

ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology

Authors: Daisuke Horiuchi, Hiroyuki Tatekawa, Tatsushi Oura, Taro Shimono, Shannon L. Walston, Hirotaka Takita, Shu Matsushita, Yasuhito Mitsuyama, Yukio Miki, Daiju Ueda

Source: Eur Radiol

Subject Terms: Male, Adult, Middle Aged, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Imaging Informatics and Artificial Intelligence, Radiologists, Humans, Female, Musculoskeletal Diseases, Clinical Competence, Radiology, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38995378

Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms

Authors: Adrian Schrader, Nils Netzer, Thomas Hielscher, Magdalena Görtz, Kevin Sun Zhang, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, David Bonekamp

Source: Eur Radiol

Subject Terms: Male, Image-Guided Biopsy, Biopsy, Prostate, Prostatic Neoplasms, Middle Aged, Magnetic Resonance Imaging, Risk Assessment, 3. Good health, Prostatic neoplasms, Multiparametric magnetic resonance imaging, Nomograms, Image-Guided Biopsy/methods [MeSH], Aged [MeSH], Deep Learning [MeSH], Imaging Informatics and Artificial Intelligence, Humans [MeSH], Risk assessment, Prostatic Neoplasms/pathology [MeSH], Retrospective Studies [MeSH], Middle Aged [MeSH], Prostatic Neoplasms/diagnostic imaging [MeSH], Prostate/diagnostic imaging [MeSH], Biopsy/methods [MeSH], Nomograms [MeSH], Male [MeSH], Prostate/pathology [MeSH], Magnetic Resonance Imaging/methods [MeSH], Deep learning, Risk Assessment/methods [MeSH], 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Humans, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38955845
https://repository.publisso.de/resource/frl:6499175

Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics: visual vs. diagnostic performance metrics

Authors: Quintin van Lohuizen, Christian Roest, Frank F. J. Simonis, Stefan J. Fransen, Thomas C. Kwee, Derya Yakar, Henkjan Huisman

Source: Eur Radiol
European Radiology, 34, 11, pp. 7364-7372

Subject Terms: Male, Prostate, Prostatic Neoplasms, Middle Aged, Magnetic Resonance Imaging, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Imaging Informatics and Artificial Intelligence, Medical Imaging - Radboud University Medical Center, Image Interpretation, Computer-Assisted, Humans, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/38724765
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/313236
https://research.rug.nl/en/publications/e4ba680e-02f6-4e49-862b-21839394a8c9
https://doi.org/10.1007/s00330-024-10771-y
https://hdl.handle.net/11370/e4ba680e-02f6-4e49-862b-21839394a8c9
https://hdl.handle.net/2066/313236
https://repository.ubn.ru.nl//bitstream/handle/2066/313236/313236.pdf

Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network

Authors: Andrzej Liebert, Hannes Schreiter, Lorenz A Kapsner, Jessica Eberle, Chris Ehring, Dominique Hadler, Luise Brock, Ramona Erber, Julius Emons, Frederik B. Laun, Michael Uder, Evelyn Wenkel, Sabine Ohlmeyer, Sebastian Bickelhaupt

Source: Eur Radiol

Subject Terms: Adult, Contrast Media, Breast Neoplasms, Middle Aged, Image Enhancement, Magnetic Resonance Imaging, Diffusion Magnetic Resonance Imaging, Imaging Informatics and Artificial Intelligence, Image Interpretation, Computer-Assisted, Humans, Female, Neural Networks, Computer, Breast, Retrospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39455455