Search Results - "Insights into imaging"

Radiomics in medical imaging—“how-to” guide and critical reflection by van Timmeren, Janita E., Cester, Davide, Tanadini-Lang, Stephanie, Alkadhi, Hatem, Baessler, Bettina

“…Radiomics is a quantitative approach to medical imaging, which aims at enhancing the existing data available to clinicians by means of advanced mathematical…”
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Convolutional neural networks: an overview and application in radiology by Yamashita, Rikiya, Nishio, Mizuho, Do, Richard Kinh Gian, Togashi, Kaori

“…Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest…”
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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 by Kocak, Burak, Baessler, Bettina, Bakas, Spyridon, Cuocolo, Renato, Fedorov, Andrey, Maier-Hein, Lena, Mercaldo, Nathaniel, Müller, Henning, Orlhac, Fanny, Pinto dos Santos, Daniel, Stanzione, Arnaldo, Ugga, Lorenzo, Zwanenburg, Alex

“…Even though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without…”
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Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States by Pesapane, Filippo, Volonté, Caterina, Codari, Marina, Sardanelli, Francesco

“…Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine, devices based on machine/deep learning have proliferated,…”
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Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey by Sit, Cherry, Srinivasan, Rohit, Amlani, Ashik, Muthuswamy, Keerthini, Azam, Aishah, Monzon, Leo, Poon, Daniel Stephen

“…Objectives To explore the attitudes of United Kingdom (UK) medical students regarding artificial intelligence (AI), their understanding, and career intention…”
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Error and discrepancy in radiology: inevitable or avoidable? by Brady, Adrian P.

“…Errors and discrepancies in radiology practice are uncomfortably common, with an estimated day-to-day rate of 3–5% of studies reported, and much higher rates…”
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What the radiologist should know about artificial intelligence – an ESR white paper

“…This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and…”
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Detector-based spectral CT with a novel dual-layer technology: principles and applications by Rassouli, Negin, Etesami, Maryam, Dhanantwari, Amar, Rajiah, Prabhakar

“…Detector-based spectral computed tomography is a novel dual-energy CT technology that employs two layers of detectors to simultaneously collect low- and…”
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METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII by Kocak, Burak, Akinci D’Antonoli, Tugba, Mercaldo, Nathaniel, Alberich-Bayarri, Angel, Baessler, Bettina, Ambrosini, Ilaria, Andreychenko, Anna E., Bakas, Spyridon, Beets-Tan, Regina G. H., Bressem, Keno, Buvat, Irene, Cannella, Roberto, Cappellini, Luca Alessandro, Cavallo, Armando Ugo, Chepelev, Leonid L., Chu, Linda Chi Hang, Demircioglu, Aydin, deSouza, Nandita M., Dietzel, Matthias, Fanni, Salvatore Claudio, Fedorov, Andrey, Fournier, Laure S., Giannini, Valentina, Girometti, Rossano, Groot Lipman, Kevin B. W., Kalarakis, Georgios, Kelly, Brendan S., Klontzas, Michail E., Koh, Dow-Mu, Kotter, Elmar, Lee, Ho Yun, Maas, Mario, Marti-Bonmati, Luis, Müller, Henning, Obuchowski, Nancy, Orlhac, Fanny, Papanikolaou, Nikolaos, Petrash, Ekaterina, Pfaehler, Elisabeth, Pinto dos Santos, Daniel, Ponsiglione, Andrea, Sabater, Sebastià, Sardanelli, Francesco, Seeböck, Philipp, Sijtsema, Nanna M., Stanzione, Arnaldo, Traverso, Alberto, Ugga, Lorenzo, Vallières, Martin, van Dijk, Lisanne V., van Griethuysen, Joost J. M., van Hamersvelt, Robbert W., van Ooijen, Peter, Vernuccio, Federica, Wang, Alan, Williams, Stuart, Witowski, Jan, Zhang, Zhongyi, Zwanenburg, Alex, Cuocolo, Renato

“…Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods…”
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Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology

“…We report the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) in 5–10…”
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ESR paper on structured reporting in radiology

“…Structured reporting is emerging as a key element of optimising radiology’s contribution to patient outcomes and ensuring the value of radiologists’ work. It…”
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Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? by Davnall, Fergus, Yip, Connie S. P., Ljungqvist, Gunnar, Selmi, Mariyah, Ng, Francesca, Sanghera, Bal, Ganeshan, Balaji, Miles, Kenneth A., Cook, Gary J., Goh, Vicky

“…Background Tumor spatial heterogeneity is an important prognostic factor, which may be reflected in medical images Methods Image texture analysis is an…”
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Facet joint syndrome: from diagnosis to interventional management by Perolat, Romain, Kastler, Adrian, Nicot, Benjamin, Pellat, Jean-Michel, Tahon, Florence, Attye, Arnaud, Heck, Olivier, Boubagra, Kamel, Grand, Sylvie, Krainik, Alexandre

“…Low back pain (LBP) is the most common pain syndrome, and is an enormous burden and cost generator for society. Lumbar facet joints (FJ) constitute a common…”
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Image-guided breast biopsy and localisation: recommendations for information to women and referring physicians by the European Society of Breast Imaging by Bick, Ulrich, Trimboli, Rubina M., Athanasiou, Alexandra, Balleyguier, Corinne, Baltzer, Pascal A. T., Bernathova, Maria, Borbély, Krisztina, Brkljacic, Boris, Carbonaro, Luca A., Clauser, Paola, Cassano, Enrico, Colin, Catherine, Esen, Gul, Evans, Andrew, Fallenberg, Eva M., Fuchsjaeger, Michael H., Gilbert, Fiona J., Helbich, Thomas H., Heywang-Köbrunner, Sylvia H., Herranz, Michel, Kinkel, Karen, Kilburn-Toppin, Fleur, Kuhl, Christiane K., Lesaru, Mihai, Lobbes, Marc B. I., Mann, Ritse M., Martincich, Laura, Panizza, Pietro, Pediconi, Federica, Pijnappel, Ruud M., Pinker, Katja, Schiaffino, Simone, Sella, Tamar, Thomassin-Naggara, Isabelle, Tardivon, Anne, Ongeval, Chantal Van, Wallis, Matthew G., Zackrisson, Sophia, Forrai, Gabor, Herrero, Julia Camps, Sardanelli, Francesco

“…We summarise here the information to be provided to women and referring physicians about percutaneous breast biopsy and lesion localisation under imaging…”
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Deep learning workflow in radiology: a primer by Montagnon, Emmanuel, Cerny, Milena, Cadrin-Chênevert, Alexandre, Hamilton, Vincent, Derennes, Thomas, Ilinca, André, Vandenbroucke-Menu, Franck, Turcotte, Simon, Kadoury, Samuel, Tang, An

“…Interest for deep learning in radiology has increased tremendously in the past decade due to the high achievable performance for various computer vision tasks…”
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Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging by Abdel Razek, Ahmed Abdel Khalek, Alksas, Ahmed, Shehata, Mohamed, AbdelKhalek, Amr, Abdel Baky, Khaled, El-Baz, Ayman, Helmy, Eman

“…This article is a comprehensive review of the basic background, technique, and clinical applications of artificial intelligence (AI) and radiomics in the field…”
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Workload for radiologists during on-call hours: dramatic increase in the past 15 years by Bruls, R. J. M., Kwee, R. M.

“…Background The objective of this study is to investigate the workload for radiologists during on-call hours and to quantify the 15-year trend in a large…”
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Combining molecular and imaging metrics in cancer: radiogenomics by Lo Gullo, Roberto, Daimiel, Isaac, Morris, Elizabeth A., Pinker, Katja

“…Background Radiogenomics is the extension of radiomics through the combination of genetic and radiomic data. Because genetic testing remains expensive,…”
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Tackling the increasing contamination of the water supply by iodinated contrast media by Dekker, Helena M., Stroomberg, Gerard J., Prokop, Mathias

“…Contrast media are essential for diagnostic and interventional procedures. Iodinated contrast media are the most commonly used agents, with CT requiring the…”
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Role of MRI in staging and follow-up of endometrial and cervical cancer: pitfalls and mimickers by Otero-García, María Milagros, Mesa-Álvarez, Alicia, Nikolic, Olivera, Blanco-Lobato, Patricia, Basta-Nikolic, Marijana, de Llano-Ortega, Rafael Menéndez, Paredes-Velázquez, Laura, Nikolic, Nikola, Szewczyk-Bieda, Magda

“…MRI plays important roles in endometrial and cervical cancer assessment, from detection to recurrent disease evaluation. Endometrial cancer (EC) is the most…”
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