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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

by Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)

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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study

by Choi, Soo Yun, Park, Sunggyun, Kim, Minchul, Park, Jongchan, Choi, Ye Ra, Jin, Kwang Nam
Published in Medicine (Baltimore) (23.04.2021)

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Deep learning–based algorithm improved radiologists’ performance in bone metastases detection on CT

by Noguchi, Shunjiro, Nishio, Mizuho, Sakamoto, Ryo, Yakami, Masahiro, Fujimoto, Koji, Emoto, Yutaka, Kubo, Takeshi, Iizuka, Yoshio, Nakagomi, Keita, Miyasa, Kazuhiro, Satoh, Kiyohide, Nakamoto, Yuji
Published in European radiology (01.11.2022)

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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

by Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie
Published in PloS one (28.02.2019)

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Deep Learning–Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time

by Ayobi, Angela, Davis, Adam, Chang, Peter D., Chow, Daniel S., Nael, Kambiz, Tassy, Maxime, Quenet, Sarah, Fogola, Sylvain, Shabe, Peter, Fussell, David, Avare, Christophe, Chaibi, Yasmina
Published in American journal of neuroradiology : AJNR (04.03.2025)

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Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

by Kim, Dong Wook, Lee, Gaeun, Kim, So Yeon, Ahn, Geunhwi, Lee, June-Goo, Lee, Seung Soo, Kim, Kyung Won, Park, Seong Ho, Lee, Yoon Jin, Kim, Namkug
Published in European radiology (01.09.2021)

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Multimodal convolutional neural network–based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video)

by Ziegler, Joceline, Dobsch, Philipp, Rozema, Marten, Zuber-Jerger, Ina, Weigand, Kilian, Reuther, Stefan, Müller, Martina, Kandulski, Arne
Published in Gastrointestinal endoscopy (01.04.2025)

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Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model

by Yin, Yunchao, Yakar, Derya, Dierckx, Rudi A. J. O., Mouridsen, Kim B., Kwee, Thomas C., de Haas, Robbert J.
Published in European radiology (01.12.2021)

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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

by 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)

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Deep Learning Algorithms for Bearing Fault Diagnostics-A Comprehensive Review

by Zhang, Shen, Zhang, Shibo, Wang, Bingnan, Habetler, Thomas G.
Published in IEEE access (2020)

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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

by Martínez-Más, José, Bueno-Crespo, Andrés, Khazendar, Shan, Remezal-Solano, Manuel, Martínez-Cendán, Juan-Pedro, Jassim, Sabah, Du, Hongbo, Al Assam, Hisham, Bourne, Tom, Timmerman, Dirk
Published in PloS one (26.07.2019)

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Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms

by Teng, Pai-Hsueh, Liang, Chia-Hao, Lin, Yun, Alberich-Bayarri, Angel, González, Rafael López, Li, Pin-Wei, Weng, Yu-Hsin, Chen, Yi-Ting, Lin, Chih-Hsien, Chou, Kang-Ju, Chen, Yao-Shen, Wu, Fu-Zong
Published in Medicine (Baltimore) (11.06.2021)

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A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks

by Bamorovat, Mehdi, Sharifi, Iraj, Rashedi, Esmat, Shafiian, Alireza, Sharifi, Fatemeh, Khosravi, Ahmad, Tahmouresi, Amirhossein
Published in PloS one (05.05.2021)

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Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs

by Park, Jun Young, Lee, Seung Hwan, Kim, Young Jae, Kim, Kwang Gi, Lee, Gil Jae
Published in PloS one (30.05.2024)

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An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images

by Wang, Dingding, Mo, Jiaqing, Zhou, Gang, Xu, Liang, Liu, Yajun
Published in PloS one (17.11.2020)

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DL-MDF-OH[sup.2]: Optimized Deep Learning-Based Monkeypox Diagnostic Framework Using the Metaheuristic Harris Hawks Optimizer Algorithm

by Almutairi, Saleh Ateeq
Published in Electronics (Basel) (01.12.2022)

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Spatial machine-learning model diagnostics: a model-agnostic distance-based approach

by Brenning, Alexander
Published in International journal of geographical information science : IJGIS (04.03.2023)

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Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study

by Garcia-Zamalloa, Alberto, Vicente, Diego, Arnay, Rafael, Arrospide, Arantzazu, Taboada, Jorge, Castilla-Rodríguez, Iván, Aguirre, Urko, Múgica, Nekane, Aldama, Ladislao, Aguinagalde, Borja, Jimenez, Montserrat, Bikuña, Edurne, Basauri, Miren Begoña, Alonso, Marta, Perez-Trallero, Emilio
Published in PloS one (04.11.2021)

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Multiparametric MRI for the improved diagnostic accuracy of Alzheimer’s disease and mild cognitive impairment: Research protocol of a case-control study design

by Piersson, Albert Dayor, Ibrahim, Buhari, Suppiah, Subapriya, Mohamad, Mazlyfarina, Hassan, Hasyma Abu, Omar, Nur Farhayu, Ibrahim, Mohd Izuan, Yusoff, Ahmad Nazlim, Ibrahim, Normala, Saripan, M. Iqbal, Razali, Rizah Mazzuin
Published in PloS one (21.09.2021)

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COVID-19 detection using federated machine learning

by Abdul Salam, Mustafa, Taha, Sanaa, Ramadan, Mohamed
Published in PloS one (08.06.2021)

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