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Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging
Kim, Dong Wook, Jang, Hye Young, Ko, Yousun, Son, Jung Hee, Kim, Pyeong Hwa, Kim, Seon-Ok, Lim, Joon Seo, Park, Seong Ho
Published in PLOS ONE (11.09.2020)
Published in PLOS ONE (11.09.2020)
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Journal Article
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Steuer, Ashley, Fritzler, Jason, Boggan, SaraBeth, Daniel, Ian, Cowles, Bobby, Penn, Cory, Goldstein, Richard, Lin, Dan
Published in Parasites & vectors (12.11.2024)
Published in Parasites & vectors (12.11.2024)
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Journal Article
Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
Han, Seung Seog, Kim, Myoung Shin, Lim, Woohyung, Park, Gyeong Hun, Park, Ilwoo, Chang, Sung Eun
Published in Journal of investigative dermatology (01.07.2018)
Published in Journal of investigative dermatology (01.07.2018)
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Journal Article
Machine learning algorithm validation with a limited sample size
Vabalas, Andrius, Gowen, Emma, Poliakoff, Ellen, Casson, Alexander J.
Published in PloS one (07.11.2019)
Published in PloS one (07.11.2019)
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Journal Article
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Published in PloS one (03.09.2019)
Published in PloS one (03.09.2019)
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Journal Article
Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images
Shah, Romil F., Martinez, Alejandro M., Pedoia, Valentina, Majumdar, Sharmila, Vail, Thomas P., Bini, Stefano A.
Published in The Journal of arthroplasty (01.10.2019)
Published in The Journal of arthroplasty (01.10.2019)
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Journal Article
The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews
Silva, Helbert Eustáquio Cardoso da, Santos, Glaucia Nize Martins, Leite, André Ferreira, Mesquita, Carla Ruffeil Moreira, Figueiredo, Paulo Tadeu de Souza, Stefani, Cristine Miron, de Melo, Nilce Santos
Published in PloS one (05.10.2023)
Published in PloS one (05.10.2023)
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Journal Article
Enhancing electrochemical detection through machine learning-driven prediction for canine mammary tumor biomarker with green silver nanoparticles
Enginler, Sinem Özlem, Küçükdeniz, Tarık, Dal, Gamze Evkuran, Yıldırım, Funda, Cilasun, Gökçe Erdemir, Alkan, Fulya Üstün, Gürgen, Hazal Öztürk, Taşaltın, Nevin, Sabuncu, Ahmet, Yılmaz, Merve, Karakuş, Selcan
Published in Analytical and bioanalytical chemistry (01.09.2024)
Published in Analytical and bioanalytical chemistry (01.09.2024)
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Journal Article
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Joo, Bio, Ahn, Sung Soo, Yoon, Pyeong Ho, Bae, Sohi, Sohn, Beomseok, Lee, Yong Eun, Bae, Jun Ho, Park, Moo Sung, Choi, Hyun Seok, Lee, Seung-Koo
Published in European radiology (01.11.2020)
Published in European radiology (01.11.2020)
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Journal Article
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
Radua, Joaquim, Vieta, Eduard, Shinohara, Russell, Kochunov, Peter, Quidé, Yann, Green, Melissa J., Weickert, Cynthia S., Weickert, Thomas, Bruggemann, Jason, Kircher, Tilo, Nenadić, Igor, Cairns, Murray J., Seal, Marc, Henskens, Frans, Fullerton, Janice M., Mowry, Bryan, Pantelis, Christos, Lenroot, Rhoshel, Cropley, Vanessa, Loughland, Carmel, Scott, Rodney, Wolf, Daniel, Satterthwaite, Theodore D., Tan, Yunlong, Sim, Kang, Spalletta, Gianfranco, Banaj, Nerisa, Pomarol-Clotet, Edith, Solanes, Aleix, Albajes-Eizagirre, Anton, Canales-Rodríguez, Erick J., Sarro, Salvador, Bertolino, Alessandro, Stäblein, Michael, Oertel, Viola, Knöchel, Christian, Borgwardt, Stefan, Yun, Je-Yeon, Kwon, Jun Soo, Dannlowski, Udo, Hahn, Tim, Grotegerd, Dominik, Alloza, Clara, Arango, Celso, Janssen, Joost, Jiang, Wenhao, Ehrlich, Stefan, Yang, Kun, Cascella, Nicola G., Takayanagi, Yoichiro, Sawa, Akira, Tomyshev, Alexander, Lebedeva, Irina, Kaleda, Vasily, Kirschner, Matthias, Hoschl, Cyril, Tomecek, David, Skoch, Antonin, van Amelsvoort, Therese, James, Anthony, Preda, Adrian, Weideman, Andrea, Stein, Dan J., Howells, Fleur, Uhlmann, Anne, Temmingh, Henk, López-Jaramillo, Carlos, Díaz-Zuluaga, Ana, Fortea, Lydia, Martinez-Heras, Eloy, Solana, Elisabeth, Llufriu, Sara, Jahanshad, Neda, Thompson, Paul, Turner, Jessica, van Erp, Theo, Glahn, David, Pearlson, Godfrey, Hong, Elliot, Carr, Vaughan, Tooney, Paul, Cooper, Gavin, Rasser, Paul, Michie, Patricia, Catts, Stanley, Gur, Raquel, Gur, Ruben, Yang, Fude, Fan, Fengmei, Chen, Jingxu, Guo, Hua, Wang, Zhiren, Xiang, Hong, Piras, Federica, Assogna, Francesca, Salvador, Raymond, Bonvino, Aurora, King, Margaret, Nguyen, Dana, Pineda-Zapata, Julian
Published in NeuroImage (Orlando, Fla.) (01.09.2020)
Published in NeuroImage (Orlando, Fla.) (01.09.2020)
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Journal Article
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
Jang, Se Bum, Lee, Suk Hee, Lee, Dong Eun, Park, Sin-Youl, Kim, Jong Kun, Cho, Jae Wan, Cho, Jaekyung, Kim, Ki Beom, Park, Byunggeon, Park, Jongmin, Lim, Jae-Kwang
Published in PloS one (24.11.2020)
Published in PloS one (24.11.2020)
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Journal Article