Cuocolo, Renato

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence

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CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Kocak, B., Baessler, B., Bakas, S., Cuocolo, R., Fedorov, A., Maier-Hein, L., Mercaldo, N., Müller, H., Orlhac, F., Pinto dos Santos, D., et al. (2023) · Insights into Imaging

Radiomics and Machine Learning in Medical ImagingRadiology practices and education

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Current applications and challenges in large language models for patient care: a systematic review

Busch, F., Hoffmann, L., Rueger, C., van Dijk, E. H., Kader, R., Ortiz-Prado, E., Makowski, M. R., Saba, L., Hadamitzky, M., Kather, J. N., et al. (2025) · Communications Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

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Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Koçak, B., Ponsiglione, A., Stanzione, A., Bluethgen, C., Santinha, J., Ugga, L., Huisman, M., Klontzas, M. E., Cannella, R., & Cuocolo, R. (2024) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

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Large language models for structured reporting in radiology: past, present, and future

Busch, F., Hoffmann, L., dos Santos, D. P., Makowski, M. R., Saba, L., Prucker, P., Hadamitzky, M., Navab, N., Kather, J. N., Truhn, D., et al. (2024) · European Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

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Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Busch, F., Hoffmann, L., Xu, L., Zhang, L. J., Hu, B., García-Juárez, I., Toapanta-Yanchapaxi, L. N., Gorelik, N., Gorelik, V., Rodriguez-Granillo, G. A., et al. (2025) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

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Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa

Romeo, V., Ricciardi, C., Cuocolo, R., Stanzione, A., Verde, F., Sarno, L., Improta, G., Mainenti, P. P., D'Armiento, M., Brunetti, A., et al. (2019) · Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingMaternal and fetal healthcare

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Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties

Busch, F., Hoffmann, L., Truhn, D., Ortiz-Prado, E., Makowski, M. R., Bressem, K. K., Adams, L. C., COMFORT Consortium, Abdala, N., Navarro, Á. A., et al. (2024) · BMC Medical Education

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

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Characterization of adrenal lesions on unenhanced MRI using texture analysis: a machine-learning approach

Romeo, V., Maurea, S., Cuocolo, R., Petretta, M., Mainenti, P. P., Verde, F., Coppola, M., Dell'Aversana, S., & Brunetti, A. (2018) · Journal of Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

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Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges

Stanzione, A., Cuocolo, R., Ugga, L., Verde, F., Romeo, V., Brunetti, A., & Maurea, S. (2022) · Cancers

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

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Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Koçak, B., Cuocolo, R., Santos, D. P. D., Stanzione, A., & Ugga, L. (2023) · Balkan Medical Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

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Towards reproducible radiomics research: introduction of a database for radiomics studies

Akinci D’Antonoli, T., Cuocolo, R., Baessler, B., & Pinto dos Santos, D. (2023) · European Radiology

Radiomics and Machine Learning in Medical ImagingResearch Data Management Practices

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Placenta Accreta Spectrum Disorders and Radiomics: Systematic review and quality appraisal

Stanzione, A., Verde, F., Cuocolo, R., Romeo, V., Paolo Mainenti, P., Brunetti, A., & Maurea, S. (2022) · European Journal of Radiology

Radiomics and Machine Learning in Medical ImagingMaternal and fetal healthcare

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Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline

Mese, I., D’Antonoli, T. A., Bluethgen, C., Bressem, K., Cuocolo, R., Chaudhari, A., Tejani, A. S., Isaac, A., Ponsiglione, A., Meddeb, A., et al. (2026) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

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Agentic systems in radiology: Principles, opportunities, privacy risks, regulation, and sustainability concerns.

Tzanis, E., Adams, L. C., Akinci D’Antonoli, T., Bressem, K. K., Cuocolo, R., Kocak, B., Malamateniou, C., & Klontzas, M. E. (2026) · Diagnostic and Interventional Imaging

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

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