Zobrazeno 1 - 10
of 1 151
pro vyhledávání: '"Michail E"'
Autor:
Nikos Sourlos, Rozemarijn Vliegenthart, Joao Santinha, Michail E. Klontzas, Renato Cuocolo, Merel Huisman, Peter van Ooijen
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Various healthcare domains have witnessed successful preliminary implementation of artificial intelligence (AI) solutions, including radiology, though limited generalizability hinders their widespread adoption. Currently, most research group
Externí odkaz:
https://doaj.org/article/7bd1a19456934e9b9fa9aa090ad2aa7d
Autor:
Moreno Zanardo, Jacob J. Visser, Anna Colarieti, Renato Cuocolo, Michail E. Klontzas, Daniel Pinto dos Santos, Francesco Sardanelli, European Society of Radiology (ESR)
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract In order to assess the perceptions and expectations of the radiology staff about artificial intelligence (AI), we conducted an online survey among ESR members (January–March 2024). It was designed considering that conducted in 2018, update
Externí odkaz:
https://doaj.org/article/426d3bd7f8e549ed99e3e7a50d9a6196
Autor:
Michail E. Klontzas, Martin Reim, Saif Afat, Viktoria Podzniakova, Annemiek Snoeckx, Minerva Becker, European Society of Radiology (ESR)
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Objectives To elucidate the research training exposure of radiology residents across ESR country members. Methods A 30-question survey was constructed by the Radiology Trainee Forum and was distributed among residents and subspecialty fellow
Externí odkaz:
https://doaj.org/article/dd5145ff2a9f4e948d30c23785880be7
Autor:
Olga V. Dobrovolskaya, Nikolay V. Demin, Maria V. Kozyreva, Elena Yu. Samarkina, Michail E. Diatroptov, Natalia V. Toroptsova
Publikováno v:
Терапевтический архив, Vol 96, Iss 5, Pp 494-499 (2024)
Aim. To study the association of bone mineral density (BMD) with serum biochemical and immunological markers in postmenopausal women with rheumatoid arthritis (RA). Materials and methods. The study included 173 women with RA (age 61.0 [56.0; 66.0]
Externí odkaz:
https://doaj.org/article/b7bf404465204df0afb92a5e5b9814d4
Autor:
Domenico Albano, Carmen Mallardi, Saif Afat, Paulo Moraes Agnollitto, Damiano Caruso, Roberto Cannella, Serena Carriero, Kalina Chupetlovska, Paola Clauser, Tommaso D’Angelo, Domenico De Santis, Marco Dioguardi Burgio, Ivo Dumic-Cule, Salvatore Claudio Fanni, Stefano Fusco, Marco Gatti, Salvatore Gitto, Sonja Jankovic, Tsvetomir Karagechev, Michail E. Klontzas, Emmanouil Koltsakis, Doris Leithner, Vid Matišić, Giuseppe Muscogiuri, Ralitsa Penkova, Michela Polici, Francesca Serpi, Carmelo Sofia, Ziga Snoj, Tugba Akinci D’Antonoli, Federica Vernuccio, João Vieira, Ana Catarina Vieira, Mirjam Wielema, Marta Zerunian, Carmelo Messina
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). Methods A survey (29 questions) was distributed
Externí odkaz:
https://doaj.org/article/8067ac5a0fe34e8bade817800296b722
Autor:
Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen, Federica Vernuccio, Lorenzo Ugga, Michail E. Klontzas, Renato Cuocolo, Roberto Cannella, Burak Koçak
Publikováno v:
Diagnostic and Interventional Radiology, Vol 30, Iss 2, Pp 80-90 (2024)
With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an increasingly large number of articles are published that utilize LLMs in radiology. To ado
Externí odkaz:
https://doaj.org/article/89d8a0da23854097922bd69b72ea4fcc
Autor:
Michail E. Klontzas, Georgios Kalarakis, Emmanouil Koltsakis, Thomas Papathomas, Apostolos H. Karantanas, Antonios Tzortzakakis
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To use convolutional neural networks (CNNs) for the differentiation between benign and malignant renal tumors using contrast-enhanced CT images of a multi-institutional, multi-vendor, and multicenter CT dataset. Methods A total of
Externí odkaz:
https://doaj.org/article/6f172f397d46474eb0dcbf940416073f
Autor:
Burak Kocak, Tugba Akinci D’Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ilaria Ambrosini, Anna E. Andreychenko, Spyridon Bakas, Regina G. H. Beets-Tan, Keno Bressem, Irene Buvat, Roberto Cannella, Luca Alessandro Cappellini, Armando Ugo Cavallo, Leonid L. Chepelev, Linda Chi Hang Chu, Aydin Demircioglu, Nandita M. deSouza, Matthias Dietzel, Salvatore Claudio Fanni, Andrey Fedorov, Laure S. Fournier, Valentina Giannini, Rossano Girometti, Kevin B. W. Groot Lipman, Georgios Kalarakis, Brendan S. Kelly, Michail E. Klontzas, Dow-Mu Koh, Elmar Kotter, Ho Yun Lee, Mario Maas, Luis Marti-Bonmati, Henning Müller, Nancy Obuchowski, Fanny Orlhac, Nikolaos Papanikolaou, Ekaterina Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, Sebastià Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods We conducted an online modified Delphi study with a group of international experts.
Externí odkaz:
https://doaj.org/article/84735d3b21f949ab8a02d96fb603cc0c
Autor:
Sofia Dimitri-Pinheiro, Michail E. Klontzas, Evangelia E. Vassalou, Madalena Pimenta, Raquel Soares, Apostolos H. Karantanas
Publikováno v:
Tomography, Vol 9, Iss 5, Pp 1857-1867 (2023)
Ultrasound-guided hydrodistention has been established as an effective minimally invasive treatment option for glenohumeral joint adhesive capsulitis (AC). Nonetheless, the long-term outcomes of the procedure have not yet been established. A total of
Externí odkaz:
https://doaj.org/article/971e44fb4c4942d88b67506ed0fb7132
Autor:
Michail E. Kavousanakis, Omkar Bhatavdekar, Remco Bastiaannet, Yannis Kevrekidis, Stavroula Sofou
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033137 (2024)
Beyond biological cell heterogeneity, evidenced by different resistances to therapeutics, “delivery heterogeneity” crucially limits treatment efficacy for advanced solid tumors: variations in therapeutic drug delivery to different tumor areas (pe
Externí odkaz:
https://doaj.org/article/d15fbe5e3ffe40a9804dcbff0c4b3cf2