The unquestionable marriage between AI and structured reporting von Visser, Jacob J

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A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative von Topff, Laurens, Sánchez-García, José, López-González, Rafael, Pastor, Ana Jiménez, Visser, Jacob J, Huisman, Merel, Guiot, Julien, Beets-Tan, Regina G H, Alberich-Bayarri, Angel, Fuster-Matanzo, Almudena, Ranschaert, Erik R

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Selenoprotein deficiency disorder predisposes to aortic aneurysm formation von Schoenmakers, Erik, Marelli, Federica, Jørgensen, Helle F., Visser, W. Edward, Moran, Carla, Groeneweg, Stefan, Avalos, Carolina, Jurgens, Sean J., Figg, Nichola, Finigan, Alison, Wali, Neha, Agostini, Maura, Wardle-Jones, Hannah, Lyons, Greta, Rusk, Rosemary, Gopalan, Deepa, Twiss, Philip, Visser, Jacob J., Goddard, Martin, Nashef, Samer A. M., Heijmen, Robin, Clift, Paul, Sinha, Sanjay, Pirruccello, James P., Ellinor, Patrick T., Busch-Nentwich, Elisabeth M., Ramirez-Solis, Ramiro, Murphy, Michael P., Persani, Luca, Bennett, Martin, Chatterjee, Krishna

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Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing von Visser, Jacob J., de Vries, Marianne, Kors, Jan A.

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Radiology in the Era of Value-based Healthcare: A Multi-Society Expert Statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA von Brady, Adrian P., Bello, Jaqueline A., Derchi, Lorenzo E., Fuchsjaeger, Michael, Goergen, Stacy, Krestin, Gabriel P., Lee, Emil J. Y., Levin, David C., Pressacco, Josephine, Rao, Vijay M., Slavotinek, John, Visser, Jacob J., Walker, Richard E. A., Brink, James A.

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Assessment of actionable findings in radiology reports von Visser, Jacob J., de Vries, Marianne, Kors, Jan A.

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Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade von Ruitenbeek, Huibert C., Oei, Edwin H. G., Visser, Jacob J., Kijowski, Richard

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Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-1... von Topff, Laurens, Groot Lipman, Kevin B. W., Guffens, Frederic, Wittenberg, Rianne, Bartels-Rutten, Annemarieke, van Veenendaal, Gerben, Hess, Mirco, Lamerigts, Kay, Wakkie, Joris, Ranschaert, Erik, Trebeschi, Stefano, Visser, Jacob J., Beets-Tan, Regina G. H.

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Talus‐derived reference coordinate system for 3D calcaneal assessment: A novel approach to improve morphological measurements von Wakker, Alexander M., Verhofstad, Michael H. J., Visser, Jacob J., Van Vledder, Mark G., Van Walsum, Theo

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Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter von van de Sande, Davy, Van Genderen, Michel E, Smit, Jim M., Huiskens, Joost, Visser, Jacob J., Veen, Robert E. R., van Unen, Edwin, BA, Oliver Hilgers, Gommers, Diederik, Bommel, Jasper van

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Validation of a commercially available CAD-system for lung nodule detection and characterization using CT-scans von Paramasamy, Jasika, Mandal, Souvik, Blomjous, Maurits, Mulders, Ties, Bos, Daniel, Aerts, Joachim G J V, Vanapalli, Prakash, Challa, Vikash, Sathyamurthy, Saigopal, Devi, Ranjana, Jain, Ritvik, Visser, Jacob J

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ESR Essentials: radiomics-practice recommendations by the European Society of Medical Imaging Informatics von Santinha, João, Pinto Dos Santos, Daniel, Laqua, Fabian, Visser, Jacob J, Groot Lipman, Kevin B W, Dietzel, Matthias, Klontzas, Michail E, Cuocolo, Renato, Gitto, Salvatore, Akinci D'Antonoli, Tugba

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Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation von Topff, Laurens, Steltenpool, Sanne, Ranschaert, Erik R., Ramanauskas, Naglis, Menezes, Renee, Visser, Jacob J., Beets-Tan, Regina G. H., Hartkamp, Nolan S.

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Systematic Review of Guidelines on Imaging of Asymptomatic Coronary Artery Disease von Ferket, Bart S., MD, Genders, Tessa S.S., MSc, Colkesen, Ersen B., MD, Visser, Jacob J., MD, PhD, Spronk, Sandra, PhD, Steyerberg, Ewout W., PhD, Hunink, M.G. Myriam, MD, PhD

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Towards clinical implementation of an AI-algorithm for detection of cervical spine fractures on computed tomography von Ruitenbeek, Huibert C., Oei, Edwin H.G., Schmahl, Bart L., Bos, Eelke M., Verdonschot, Rob J.C.G., Visser, Jacob J.

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Minimally interactive segmentation of soft-tissue tumors on CT and MRI using deep learning von Spaanderman, Douwe J, Starmans, Martijn P A, van Erp, Gonnie C M, Hanff, David F, Sluijter, Judith H, Schut, Anne-Rose W, van Leenders, Geert J L H, Verhoef, Cornelis, Grünhagen, Dirk J, Niessen, Wiro J, Visser, Jacob J, Klein, Stefan

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Impact of AI on radiology: a EuroAIM/EuSoMII 2024 survey among members of the European Society of Radiology von Zanardo, Moreno, Visser, Jacob J., Colarieti, Anna, Cuocolo, Renato, Klontzas, Michail E., Pinto dos Santos, Daniel, Sardanelli, Francesco

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The Need for Sustainable Teleconsultation Systems in the Aftermath of the First COVID-19 Wave von Giunti, Guido, Goossens, Richard, De Bont, Antoinette, Visser, Jacob J., Mulder, Mark, Schuit, Stephanie C. E.

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Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice von Boverhof, Bart-Jan, Redekop, W. Ken, Bos, Daniel, Starmans, Martijn P. A., Birch, Judy, Rockall, Andrea, Visser, Jacob J.

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Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study von Starmans, Martijn P. A., Buisman, Florian E., Renckens, Michel, Willemssen, François E. J. A., van der Voort, Sebastian R., Groot Koerkamp, Bas, Grünhagen, Dirk J., Niessen, Wiro J., Vermeulen, Peter B., Verhoef, Cornelis, Visser, Jacob J., Klein, Stefan

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